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Journal articles on the topic 'Interactive videos ; Real-time data processing'

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1

Xu, Yuanjin, and Xiaojun Liu. "Interactive Algorithms in Complex Image Processing Systems Based on Big Data." Complexity 2020 (May 5, 2020): 1–9. http://dx.doi.org/10.1155/2020/5929584.

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In the era of big data, images and videos are one of the main means of information dissemination. In recent years, research on the problem of image and video reorganization and integration has become a hot topic in digital image processing technology. Using a computer for image processing, complicated programming is unavoidable. Therefore, it is necessary to optimize the interactive algorithms for image processing. In this paper, the content of image processing experiment is screened and integrated, and an image processing experiment system based on Matlab GUI platform is established for diffe
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Yadav, Piyush, Dhaval Salwala, Dibya Prakash Das, and Edward Curry. "Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing." International Journal of Semantic Computing 14, no. 03 (2020): 423–55. http://dx.doi.org/10.1142/s1793351x20500051.

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Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video streams are complicated due to their unstructured data model and limit CEP systems to perform matching over them. This work introduces a graph-based structure for continuous evolving video streams, which enables the CEP system to query complex video event patterns. We propose the Video Event Knowledge Graph (VEKG), a graph-driven representation of video data. VEKG models video ob
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Hein, Daniel, Thomas Kraft, Jörg Brauchle, and Ralf Berger. "Integrated UAV-Based Real-Time Mapping for Security Applications." ISPRS International Journal of Geo-Information 8, no. 5 (2019): 219. http://dx.doi.org/10.3390/ijgi8050219.

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Security applications such as management of natural disasters and man-made incidents crucially depend on the rapid availability of a situation picture of the affected area. UAV-based remote sensing systems may constitute an essential tool for capturing aerial imagery in such scenarios. While several commercial UAV solutions already provide acquisition of high quality photos or real-time video transmission via radio link, generating instant high-resolution aerial maps is still an open challenge. For this purpose, the article presents a real-time processing tool chain, enabling generation of int
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Majumdar, Jharna, Darshan K M, and Abhijith Vijayendra. "Design and Implementation of Video Shot Detection on Field Programmable Gate Arrays." IAES International Journal of Robotics and Automation (IJRA) 2, no. 1 (2013): 17. http://dx.doi.org/10.11591/ijra.v2i1.pp17-25.

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Video has become an interactive medium of communication in everyday life. The sheer volume of video makes it extremely difficult to browse through and find the required data. Hence extraction of key frames from the video which represents the abstract of the entire video becomes necessary. The aim of the video shot detection is to find the position of the shot boundaries, so that key frames can be selected from each shot for subsequent processing such as video summarization, indexing etc. For most of the surveillance applications like video summery, face recognition etc., the hardware (real tim
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Hamza, Rafik, Alzubair Hassan, Teng Huang, Lishan Ke, and Hongyang Yan. "An Efficient Cryptosystem for Video Surveillance in the Internet of Things Environment." Complexity 2019 (December 9, 2019): 1–11. http://dx.doi.org/10.1155/2019/1625678.

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Surveillance systems paradigm envisions the pervasive interconnection and cooperation of interactive devices over the Internet infrastructure. Nevertheless, dissemination and processing of surveillance video amid the Internet of Things (IoT) applications become a susceptible issue due to the large volume and the significant information of these data. Moreover, surveillance devices on IoT have very limited resources such as memory and storage. The actual security methods are not quite appropriate for surveillance IoT systems. Thus, a particular cryptosystem technique is required for surveillanc
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Raheel, Aasim, Muhammad Majid, Majdi Alnowami, and Syed Muhammad Anwar. "Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia." Sensors 20, no. 14 (2020): 4037. http://dx.doi.org/10.3390/s20144037.

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Emotion recognition has increased the potential of affective computing by getting an instant feedback from users and thereby, have a better understanding of their behavior. Physiological sensors have been used to recognize human emotions in response to audio and video content that engages single (auditory) and multiple (two: auditory and vision) human senses, respectively. In this study, human emotions were recognized using physiological signals observed in response to tactile enhanced multimedia content that engages three (tactile, vision, and auditory) human senses. The aim was to give users
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Mehrabi, Abbas, Matti Siekkinen, Teemu Kämäräinen, and Antti yl¨-J¨¨ski. "Multi-Tier CloudVR." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 2 (2021): 1–24. http://dx.doi.org/10.1145/3429441.

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The availability of high bandwidth with low-latency communication in 5G mobile networks enables remote rendered real-time virtual reality (VR) applications. Remote rendering of VR graphics in a cloud removes the need for local personal computer for graphics rendering and augments weak graphics processing unit capacity of stand-alone VR headsets. However, to prevent the added network latency of remote rendering from ruining user experience, rendering a locally navigable viewport that is larger than the field of view of the HMD is necessary. The size of the viewport required depends on latency:
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Karnatak, H., P. L. N. Raju, Y. V. N. Krishna Murthy, S. K. Srivastav, and P. K. Gupta. "E-learning based distance education programme on Remote Sensing and Geoinformation Science – An initiative of IIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1237–41. http://dx.doi.org/10.5194/isprsarchives-xl-8-1237-2014.

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IIRS has initiated its interactive distance education based capacity building under IIRS outreach programme in year 2007 where more than 15000+ students were trained in the field of geospatial technology using Satellite based interactive terminals and internet based learning using A-View software. During last decade the utilization of Internet technology by different user groups in the society is emerged as a technological revaluation which has directly affect the life of human being. The Internet is used extensively in India for various purposes right from entrainment to critical decision mak
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Boyun, Vitaliy. "Directions of Development of Intelligent Real Time Video Systems." Application and Theory of Computer Technology 2, no. 3 (2017): 48. http://dx.doi.org/10.22496/atct.v2i3.65.

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Real time video systems play a significant role in many fields of science and technology. The range of their applications is constantly increasing together with requirements to them, especially it concerns to real time video systems with the feedbacks. Conventional fundamentals and principles of real-time video systems construction are extremely redundant and do not take into consideration the peculiarities of real time processing and tasks, therefore they do not meet the system requirements neither in technical plan nor in informational and methodical one. Therefore, the purpose of this resea
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Sujeetha, S., Veneesa Ja, K. Vinitha, and R. Suvedha. "Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing." International Journal of Engineering & Technology 7, no. 2.31 (2018): 240. http://dx.doi.org/10.14419/ijet.v7i3.31.18233.

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In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is
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Buthukuri, Bhavani, and Sivaram Rajeyyagari. "Investigation on Processing of Real-Time Streaming Big Data." International Journal of Engineering & Technology 7, no. 3.13 (2018): 79. http://dx.doi.org/10.14419/ijet.v7i3.13.16329.

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MapReduce is the most widely used for huge data processing and it is a part of the Hadoop big data and this will provide the quality and efficient results because of their processing functions. For the batch jobs, Hadoop is the proper and also there is inflated request for non-batch elements homogeneous interactive jobs, and high data currents. For this non-batch assignments, consider Hadoop is not useful and present situations are recommending to these new crises. In this paper, these are divided into two stages that are real-time processing, and stream processing of big data. For every stage
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Peng, Rui, Alex J. Aved, and Kien A. Hua. "Real-Time Query Processing on Live Videos in Networks of Distributed Cameras." International Journal of Interdisciplinary Telecommunications and Networking 2, no. 1 (2010): 27–48. http://dx.doi.org/10.4018/jitn.2010010103.

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With the proliferation of inexpensive cameras and the availability of high-speed wired and wireless networks, systems of distributed cameras are becoming an enabling technology for a broad range of interdisciplinary applications in domains such as public safety and security, manufacturing, transportation, and healthcare. Today’s live video processing systems on networks of distributed cameras, however, are designed for specific classes of applications. To provide a generic query processing platform for applications of distributed camera networks, the authors designed and implemented a new clas
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Vishaka Gayathri, D., Shrutee Shree, Taru Jain, and K. Sornalakshmi. "Real Time System for Human Identification and Tracking from Surveillance Videos." International Journal of Engineering & Technology 7, no. 3.12 (2018): 244. http://dx.doi.org/10.14419/ijet.v7i3.12.16034.

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The need for intelligent surveillance systems has raised the concerns of security. A viable system with automated methods for person identification to detect, track and recognize persons in real time is required. The traditional detection techniques have not been able to analyze such a huge amount of live video generated in real-time. So, there is a necessity for live streaming video analytics which includes processing and analyzing large scale visual data such as images or videos to find content that are useful for interpretation. In this work, an automated surveillance system for real-time d
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Zhang, Yu Jie, and Ying Ying Wu. "The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530." Advanced Materials Research 816-817 (September 2013): 535–39. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.535.

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In this paper, according to the characteristics of power plant boiler combustion process, to use the image processing technology to extract feature quantity of flame combustion. For boiler combustion diagnosis real-time requirements, the system of real-time image processing and combustion diagnosis based on OMAP3530 was designed and developed. The system makes full use of the OMAP3530 dual-core processor, and makes the operating system and control, video signal acquisition, human-computer interaction, output driving tasks run on the ARM, and the image data processing tasks are completed by DSP
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15

Fluke, Christopher J. "Real-time Visualisation and Analysis of Tera-scale Datasets." Proceedings of the International Astronomical Union 10, H16 (2012): 679–80. http://dx.doi.org/10.1017/s1743921314012873.

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AbstractAs we move ever closer to the Square Kilometre Array era, support for real-time, interactive visualisation and analysis of tera-scale (and beyond) data cubes will be crucial for on-going knowledge discovery. However, the data-on-the-desktop approach to analysis and visualisation that most astronomers are comfortable with will no longer be feasible: tera-scale data volumes exceed the memory and processing capabilities of standard desktop computing environments. Instead, there will be an increasing need for astronomers to utilise remote high performance computing (HPC) resources. In rece
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Sharma, Chirag, Amandeep Bagga, Bhupesh Kumar Singh, and Mohammad Shabaz. "A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application." Mathematical Problems in Engineering 2021 (April 8, 2021): 1–27. http://dx.doi.org/10.1155/2021/5580098.

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The multimedia technologies are gaining a lot of popularity these days. Many unauthorized persons are gaining the access of multimedia such as videos, audios, and images. The transmission of multimedia across the Internet by unauthorized person has led to the problem of illegal distribution. The problem arises when copyrighted data is getting accessed without the knowledge of copyright owner. The videos are the most attacked data during COVID-19 pandemic. In this paper, the frame selection video watermarking technique is proposed to tackle the issue. The proposed work enlightens frame selectio
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17

Fu, Eugene Yujun, Hong Va Leong, Grace Ngai, and Stephen C. F. Chan. "Automatic fight detection in surveillance videos." International Journal of Pervasive Computing and Communications 13, no. 2 (2017): 130–56. http://dx.doi.org/10.1108/ijpcc-02-2017-0018.

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Purpose Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner. Design/methodology/approach Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithm
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Ma, Mengyu, Ye Wu, Luo Chen, Jun Li, and Ning Jing. "Interactive and Online Buffer-Overlay Analytics of Large-Scale Spatial Data." ISPRS International Journal of Geo-Information 8, no. 1 (2019): 21. http://dx.doi.org/10.3390/ijgi8010021.

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Buffer and overlay analysis are fundamental operations which are widely used in Geographic Information Systems (GIS) for resource allocation, land planning, and other relevant fields. Real-time buffer and overlay analysis for large-scale spatial data remains a challenging problem because the computational scales of conventional data-oriented methods expand rapidly with data volumes. In this paper, we present HiBO, a visualization-oriented buffer-overlay analysis model which is less sensitive to data volumes. In HiBO, the core task is to determine the value of pixels for display. Therefore, we
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Delorme, Arnaud, Tim Mullen, Christian Kothe, et al. "EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing." Computational Intelligence and Neuroscience 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/130714.

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We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools include (1) a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; (2) a neuroelectromagnetic forward head modeling toolbox (NFT) for building realistic electrical head models from available data; (3) a source in
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Huang, Qinghua, and Zhaozheng Zeng. "A Review on Real-Time 3D Ultrasound Imaging Technology." BioMed Research International 2017 (2017): 1–20. http://dx.doi.org/10.1155/2017/6027029.

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Real-time three-dimensional (3D) ultrasound (US) has attracted much more attention in medical researches because it provides interactive feedback to help clinicians acquire high-quality images as well as timely spatial information of the scanned area and hence is necessary in intraoperative ultrasound examinations. Plenty of publications have been declared to complete the real-time or near real-time visualization of 3D ultrasound using volumetric probes or the routinely used two-dimensional (2D) probes. So far, a review on how to design an interactive system with appropriate processing algorit
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Zhou, Yu Bin, and Yu Ning Yang. "Omni-Vision System of Intelligent Car Based on DSP & FPGA." Applied Mechanics and Materials 187 (June 2012): 109–14. http://dx.doi.org/10.4028/www.scientific.net/amm.187.109.

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In order to realize omni-vision system of intelligent car for auto wandering in real-time processing, an image processing system with 6 vision channels based on FPGA&DSP is designed. In the system, two ZBT SRAM chips are used as the input and output cache for high data transferring. A FPGA chip is responsible for the core logic controlling and video synchronous. Digital videos are sent so processing module by camlink bus. Data are exchanged by EMIF and McBSP between FPGA and DSPs. EDMA is used for data transferring between SRAM in FPGA and ZBT SRAM. The QDMA is used for 2D data transferrin
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Livingston, Merlin L. M., and Agnel L. G. X. Livingston. "Processing of Images and Videos for Extracting Text Information from Clustered Features Using Graph Wavelet Transform." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 557–61. http://dx.doi.org/10.1166/jctn.2019.7768.

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Image processing is an interesting domain for extracting knowledge from real time video and images for surveillance, automation, robotics, medical and entertainment industries. The data obtained from videos and images are continuous and hold a primary role in semantic based video analysis, retrieval and indexing. When images and videos are obtained from natural and random sources, they need to be processed for identifying text, tracking, binarization and recognising meaningful information for succeeding actions. This proposal defines a solution with assistance of Spectral Graph Wave Transform
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Kalem, Sid'Ali, and Assia Kourgli. "Irregular Morphing for Real-Time Rendering of Large Terrain." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 755–62. http://dx.doi.org/10.5194/isprsarchives-xli-b3-755-2016.

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The following paper proposes an alternative approach to the real-time adaptive triangulation problem. A new region-based multi-resolution approach for terrain rendering is described which improves on-the-fly the distribution of the density of triangles inside the tile after selecting appropriate Level-Of-Detail by an adaptive sampling. This proposed approach organizes the heightmap into a QuadTree of tiles that are processed independently. This technique combines the benefits of both Triangular Irregular Network approach and region-based multi-resolution approach by improving the distribution
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Kalem, Sid'Ali, and Assia Kourgli. "Irregular Morphing for Real-Time Rendering of Large Terrain." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 755–62. http://dx.doi.org/10.5194/isprs-archives-xli-b3-755-2016.

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The following paper proposes an alternative approach to the real-time adaptive triangulation problem. A new region-based multi-resolution approach for terrain rendering is described which improves on-the-fly the distribution of the density of triangles inside the tile after selecting appropriate Level-Of-Detail by an adaptive sampling. This proposed approach organizes the heightmap into a QuadTree of tiles that are processed independently. This technique combines the benefits of both Triangular Irregular Network approach and region-based multi-resolution approach by improving the distribution
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Semlali, Bad-reddine Boudriki, Chaker El Amrani, and Siegfried Denys. "Development of a Java-based application for environmental remote sensing data processing." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 1978. http://dx.doi.org/10.11591/ijece.v9i3.pp1978-1986.

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Air pollution is one of the most serious problems the world faces today. It is highly necessary to monitor pollutants in real-time to anticipate and reduce damages caused in several fields of activities. Likewise, it is necessary to provide decision makers with useful and updated environmental data. As a solution to a part of the above-mentioned necessities, we developed a Java-based application software to collect, process and visualize several environmental and pollution data, acquired from the Mediterranean Dialog earth Observatory (MDEO) platform [1]. This application will amass data of Mo
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Mittleman, R. K., and N. W. Parker. "Micrograph image processing system." Proceedings, annual meeting, Electron Microscopy Society of America 44 (August 1986): 872–73. http://dx.doi.org/10.1017/s0424820100145704.

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We have developed a computer-driven image processing system for the analysis of STEM micrographs. Modern computer and data storage devices give the researcher the ability to record and store large numbers of images. Our system was designed to allow rapid viewing and to facilitate the measurement process. Making use of an IBM 4381-2 mainframe computer and a high resolution (1024 x 1280 pixels) Metheus Omega 500 display system, we have written a flexible, interactive system to display and process data from our electron microscopes. The system is menu-driven from a mouse and can call subroutines
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Farmanbar, Mina, and Chunming Rong. "Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance." Processes 8, no. 2 (2020): 250. http://dx.doi.org/10.3390/pr8020250.

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Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart city” functional is the combined use of advanced infrastructure technologies to deliver its core services to the public in a remarkably efficient manner. City dashboards have drawn increasing interest from both city operators and citizens. Dashboards can gather, visualize, analyze, and inform regional performance to support the sustainable development of smart cities. They
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Yeh, Her-Tyan, Juing-Shian Chiou, and Ting-Jun Zhou. "A Karaoke System with Real-Time Media Merging and Sharing Functions for a Cloud-Computing-Integrated Mobile Device." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/713589.

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Mobile devices such as personal digital assistants (PDAs), smartphones, and tablets have increased in popularity and are extremely efficient for work-related, social, and entertainment uses. Popular entertainment services have also attracted substantial attention. Thus, relevant industries have exerted considerable efforts in establishing a method by which mobile devices can be used to develop excellent and convenient entertainment services. Because cloud-computing technology is mature and possesses a strong computing processing capacity, integrating this technology into the entertainment serv
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Khosravi, Mohammad R., Sadegh Samadi, and Reza Mohseni. "Spatial Interpolators for Intra-Frame Resampling of SAR Videos: A Comparative Study Using Real-Time HD, Medical and Radar Data." Current Signal Transduction Therapy 15, no. 2 (2020): 144–96. http://dx.doi.org/10.2174/2213275912666190618165125.

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Background: Real-time video coding is a very interesting area of research with extensive applications into remote sensing and medical imaging. Many research works and multimedia standards for this purpose have been developed. Some processing ideas in the area are focused on second-step (additional) compression of videos coded by existing standards like MPEG 4.14. Materials and Methods: In this article, an evaluation of some techniques with different complexity orders for video compression problem is performed. All compared techniques are based on interpolation algorithms in spatial domain. In
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Wu, Yao, Long Zheng, Brian Heilig, and Guang R. Gao. "HAMR: A dataflow-based real-time in-memory cluster computing engine." International Journal of High Performance Computing Applications 31, no. 5 (2016): 361–74. http://dx.doi.org/10.1177/1094342016672080.

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As the attention given to big data grows, cluster computing systems for distributed processing of large data sets become the mainstream and critical requirement in high performance distributed system research. One of the most successful systems is Hadoop, which uses MapReduce as a programming/execution model and takes disks as intermedia to process huge volumes of data. Spark, as an in-memory computing engine, can solve the iterative and interactive problems more efficiently. However, currently it is a consensus that they are not the final solutions to big data due to a MapReduce-like programm
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Gomes, Paulo Veloso, António Marques, João Donga, Catarina Sá, António Correia, and Javier Pereira. "Adaptive Model for Biofeedback Data Flows Management in the Design of Interactive Immersive Environments." Applied Sciences 11, no. 11 (2021): 5067. http://dx.doi.org/10.3390/app11115067.

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The interactivity of an immersive environment comes up from the relationship that is established between the user and the system. This relationship results in a set of data exchanges between human and technological actors. The real-time biofeedback devices allow to collect in real time the biodata generated by the user during the exhibition. The analysis, processing and conversion of these biodata into multimodal data allows to relate the stimuli with the emotions they trigger. This work describes an adaptive model for biofeedback data flows management used in the design of interactive immersi
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Kim, Young-Woon, and Hyeopgeon Lee. "Development of real-time big data analysis system for RHIPE-based marketing in the automobile industry." International Journal of Engineering & Technology 7, no. 3.33 (2018): 248. http://dx.doi.org/10.14419/ijet.v7i3.33.21022.

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In the automobile industry, the contract information of vehicles contracted through sales activities, as well as the order data of customers who purchased cars, and vehicle maintenance history information all accumulate in relational databases over time. Although accumulated customer and vehicle information is used for marketing purposes, processing and analyzing this massive data is difficult, as its volume con-stantly increases. This problem of managing big data is commonly solved by utilizing the MapReduce distributed structure of Hadoop, which uses big data distributed processing technolog
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Zhang, Deng Pan, Xu Han, and Zhi Qiang Gao. "Research on Hydraulic Pressure Detection System for Mine." Applied Mechanics and Materials 321-324 (June 2013): 1477–81. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1477.

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According to mine hydraulic testing requirement, the article puts forward an online hydraulic testing method, which is used in mine hydraulic cylinder,three-way valve and so on. It makes real-time, multi-channel hydraulic pressure signal gathering and processing procedure come true, thus completes the online assessment for mine hydraulic testing. The method uses a multi-thread, multi-channel, multi-buffer synchronous detection mode by combining soft and hardware hydraulic test features and establishes data collecting and interactive model as well as data display and storage model, which owns a
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Wang, Sheng, Zhifeng Bao, J. Shane Culpepper, and Gao Cong. "A Survey on Trajectory Data Management, Analytics, and Learning." ACM Computing Surveys 54, no. 2 (2021): 1–36. http://dx.doi.org/10.1145/3440207.

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Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage and analyze the data being produced. In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only and spatial-textual trajectory data, and trajectory clustering. We also explore four closely related analytical tasks commonly used with trajectory
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Lopes, Alba Sandyra Bezerra, Ivan Saraiva Silva, and Luciano Volcan Agostini. "A Memory Hierarchy Model Based on Data Reuse for Full-Search Motion Estimation on High-Definition Digital Videos." International Journal of Reconfigurable Computing 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/473725.

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The motion estimation is the most complex module in a video encoder requiring a high processing throughput and high memory bandwidth, mainly when the focus is high-definition videos. The throughput problem can be solved increasing the parallelism in the internal operations. The external memory bandwidth may be reduced using a memory hierarchy. This work presents a memory hierarchy model for a full-search motion estimation core. The proposed memory hierarchy model is based on a data reuse scheme considering the full search algorithm features. The proposed memory hierarchy expressively reduces t
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Ade', Oyetunji Samson, and Daniel Ale. "Development of MATLAB-Based Digital Signal Processing Teaching Module with Graphical User Interface Environment for Nigerian University." International Journal of Engineering & Technology 2, no. 3 (2013): 230. http://dx.doi.org/10.14419/ijet.v2i3.1081.

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The development of a teaching aid module for digital Signal processing (DSP) in Nigeria Universities was undertaken to address the problem associated with non-availability instructional module. This paper annexes the potential of Peripheral Interface Controllers (PICs) with MATLAB resources to develop a PIC-based system with graphic user interface environment suitable for data acquisition and signal processing. The module accepts data from three different sources: real time acquisition, pre-recorded data acquisition and software-generated data. The developed system is able to perform analysis
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Tabash, Fatma K., and M. Izharuddin. "Efficient Encryption Technique for H.264/AVC Videos Based on CABAC and Logistic Map." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 1 (2018): 39. http://dx.doi.org/10.11591/ijict.v7i1.pp39-48.

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Nowadays, the demands of real-time video communication are increased rapidly. Search and rescue(SAR) applications like earthquake rescue, avalanche victims, wildfire monitoring in addition to highway surveillance are considered examples of real-time applications. In which, communication time is considered the most important metric to be optimized to ensure support for victims’ lives. Thus finding a simple and time efficient encryption technique for securing the transmitted data become mandatory. In this paper, we present an efficient encryption technique which has low computation complexity, l
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38

Hassan, A. H., C. J. Fluke, and D. G. Barnes. "A Distributed GPU-Based Framework for Real-Time 3D Volume Rendering of Large Astronomical Data Cubes." Publications of the Astronomical Society of Australia 29, no. 3 (2012): 340–51. http://dx.doi.org/10.1071/as12025.

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AbstractWe present a framework to volume-render three-dimensional data cubes interactively using distributed ray-casting and volume-bricking over a cluster of workstations powered by one or more graphics processing units (GPUs) and a multi-core central processing unit (CPU). The main design target for this framework is to provide an in-core visualization solution able to provide three-dimensional interactive views of terabyte-sized data cubes. We tested the presented framework using a computing cluster comprising 64 nodes with a total of 128 GPUs. The framework proved to be scalable to render
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39

Jin, Cang-hong, Ze-min Liu, Ming-hui Wu, and Jing Ying. "FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data." Mobile Information Systems 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/818307.

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Massive stream data mining and computing require dealing with an infinite sequence of data items with low latency. As far as we know, current Stream Processing Engines (SPEs) cannot handle massive stream data efficiently due to their inability of horizontal computation modeling and lack of interactive query. In this paper, we detail the challenges of stream data processing and introduce FastFlow, a model-driven infrastructure. FastFlow differs from other existing SPEs in terms of its user-friendly interface, support of complex operators, heterogeneous outputs, extensible computing model, and r
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Sousa, Daniela, Diego Hernandez, Francisco Oliveira, Miguel Luís, and Susana Sargento. "A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments." Sensors 19, no. 21 (2019): 4695. http://dx.doi.org/10.3390/s19214695.

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The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time communication and processing network. The complete monitoring platform consists of environmental sensors equipped in a swarm of mobile Unmanned Surface Vehicles (USVs) and Buoys, capable of collecting aquatic and outside information, and sending it to a central station where it will be stored and p
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Ordonez-Ante, Leandro, Gregory Van Seghbroeck, Tim Wauters, Bruno Volckaert, and Filip De Turck. "Explora: Interactive Querying of Multidimensional Data in the Context of Smart Cities." Sensors 20, no. 9 (2020): 2737. http://dx.doi.org/10.3390/s20092737.

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Citizen engagement is one of the key factors for smart city initiatives to remain sustainable over time. This in turn entails providing citizens and other relevant stakeholders with the latest data and tools that enable them to derive insights that add value to their day-to-day life. The massive volume of data being constantly produced in these smart city environments makes satisfying this requirement particularly challenging. This paper introduces Explora, a generic framework for serving interactive low-latency requests, typical of visual exploratory applications on spatiotemporal data, which
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Samadiani, Huang, Cai, et al. "A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data." Sensors 19, no. 8 (2019): 1863. http://dx.doi.org/10.3390/s19081863.

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Facial Expression Recognition (FER) can be widely applied to various research areas, such as mental diseases diagnosis and human social/physiological interaction detection. With the emerging advanced technologies in hardware and sensors, FER systems have been developed to support real-world application scenes, instead of laboratory environments. Although the laboratory-controlled FER systems achieve very high accuracy, around 97%, the technical transferring from the laboratory to real-world applications faces a great barrier of very low accuracy, approximately 50%. In this survey, we comprehen
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Sable, Tanvi, Nehal Parate, Dharini Nadkar, and Swapnil Shinde. "Density and Time based Traffic Control System using Video Processing." ITM Web of Conferences 32 (2020): 03028. http://dx.doi.org/10.1051/itmconf/20203203028.

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Traffic is the serious issue which each nation faces due to the expansion in number of vehicles. One of the strategies to beat the traffic issue is to build up a smart traffic control framework which depends on computing the traffic density and about utilizing constant video and picture preparing procedures. The topic is to control the traffic by deciding the traffic density on each roadside and control the traffic signal smartly by utilizing the density data. In this paper, an automated system based on processing of real time videos is proposed for detection of vehicles and recording count of
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44

Gstaiger, V., H. Römer, D. Rosenbaum, and F. Henkel. "AIRBORNE CAMERA SYSTEM FOR REAL-TIME APPLICATIONS – SUPPORT OF A NATIONAL CIVIL PROTECTION EXERCISE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 1189–94. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1189-2015.

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In the VABENE++ project of the German Aerospace Center (DLR), powerful tools are being developed to aid public authorities and organizations with security responsibilities as well as traffic authorities when dealing with disasters and large public events. One focus lies on the acquisition of high resolution aerial imagery, its fully automatic processing, analysis and near real-time provision to decision makers in emergency situations. For this purpose a camera system was developed to be operated from a helicopter with light-weight processing units and microwave link for fast data transfer. In
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Talbot, Hugo, Stéphanie Marchesseau, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. "Towards an interactive electromechanical model of the heart." Interface Focus 3, no. 2 (2013): 20120091. http://dx.doi.org/10.1098/rsfs.2012.0091.

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In this work, we develop an interactive framework for rehearsal of and training in cardiac catheter ablation, and for planning cardiac resynchronization therapy. To this end, an interactive and real-time electrophysiology model of the heart is developed to fit patient-specific data. The proposed interactive framework relies on two main contributions. First, an efficient implementation of cardiac electrophysiology is proposed, using the latest graphics processing unit computing techniques. Second, a mechanical simulation is then coupled to the electrophysiological signals to produce realistic m
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Qu, Zhi Jian, Liang Guo, Hong Ping Ling, Ge Chen, and Li Liu. "Multi-Agent Information Interaction Research for Distribution Dispatch Monitoring." Advanced Materials Research 791-793 (September 2013): 962–66. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.962.

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In allusion to the transmission difficult difficulties problem of massive monitoring information flow, due to numerous on-line processing points and quick variation of operating parameters in distribution network monitoring dispatching, an new asynchronous processing method for batch information based on multi-agent alliance technology is proposed. Multi-agent alliance Platform is constructed by means of designing JACK software. Then using CIM-mapping technology and news event asynchronous trigger technology, massive data interactive real-time processing is implemented. Taking the monitoring s
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Li, Hao, Zhaoquan Gu, Lianbing Deng, Yi Han, Cheng Yang, and Zhihong Tian. "A Fine-Grained Video Encryption Service Based on the Cloud-Fog-Local Architecture for Public and Private Videos." Sensors 19, no. 24 (2019): 5366. http://dx.doi.org/10.3390/s19245366.

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With the advancement of cloud computing and fog computing, more and more services and data are being moved from local servers to the fog and cloud for processing and storage. Videos are an important part of this movement. However, security issues involved in video moving have drawn wide attention. Although many video-encryption algorithms have been developed to protect local videos, these algorithms fail to solve the new problems faced on the media cloud, such as how to provide a video encryption service to devices with low computing power, how to meet the different encryption requirements for
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Borodo, Salisu Musa, Siti Mariyam Shamsuddin, and Shafaatunnur Hasan. "Big Data Platforms and Techniques." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 191. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp191-200.

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Data is growing at unprecedented rate and has led to huge volume generated; the data sources include mobile, internet and sensors. This voluminous data is generated and updated at high velocity by batch and streaming platforms. This data is also varied along structured and unstructured types. This volume, velocity and variety of data led to the term big data. Big data has been premised to contain untapped knowledge, its exploration and exploitation is termed big data analytics. This literature reviewed platforms such as batch processing, real time processing and interactive analytics used in b
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Kim, Dongsoo, Brian Nelson, and Dong-Jun Seo. "Characteristics of Reprocessed Hydrometeorological Automated Data System (HADS) Hourly Precipitation Data." Weather and Forecasting 24, no. 5 (2009): 1287–96. http://dx.doi.org/10.1175/2009waf2222227.1.

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Abstract The Hydrometeorological Automated Data System (HADS) is a real-time data acquisition, processing, and distribution system operated by the Office of Hydrologic Development (OHD) of NOAA’s National Weather Service (NWS). The initial reprocessing of HADS data from its original format since its inception in July 1996 has been completed at NOAA’s National Climatic Data Center (NCDC). The quality of the reprocessed HADS hourly precipitation data from rain gauges is assessed by two objective metrics: the average fraction of missing values and the percentage of top-of-the-hour observations fo
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Ko, Hyeongseok, and James Cremer. "VRLOCO: Real-Time Human Locomotion from Positional Input Streams." Presence: Teleoperators and Virtual Environments 5, no. 4 (1996): 367–80. http://dx.doi.org/10.1162/pres.1996.5.4.367.

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Virtual reality applications, especially in entertainment and training, require environments populated with multiple interacting humans. Whether the virtual humans are controlled by real people or by computer programs, a large portion of their activity will involve locomotion. This paper presents VRLOCO, a “locomotion engine” designed to meet the locomotion requirements of virtual environments. First, VRLOCO is broadly capable; it includes five locomotion primitives—walking, running, lateral stepping, turning around, and backward stepping—and can blend smoothly between primitives during transi
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