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Journal articles on the topic 'Image processing Information storage and retrieval systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Aouat, Saliha, and Slimane Larabi. "Object Retrieval Using the Quad-Tree Decomposition." Journal of Intelligent Systems 23, no. 1 (2014): 33–47. http://dx.doi.org/10.1515/jisys-2013-0014.

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AbstractWe propose in this article an indexing and retrieval approach applied on outline shapes. Models of objects are stored in a database using the textual descriptors of their silhouettes. We extract from the textual description a set of efficient similarity measures to index the silhouettes. The extracted features are the geometric quasi-invariants that vary slightly with the small change in the viewpoint. We use a textual description and quasi-invariant features to minimize the storage space and to achieve an efficient indexing process. We also use the quad-tree structure to improve proce

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Philip, G., D. Crookes, and Z. Juhasz. "QUIMaS (Queen's University Image Management System): a museum photographic database." Journal of Information Science 20, no. 3 (1994): 161–74. http://dx.doi.org/10.1177/016555159402000302.

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This paper reports on the construction of an interactive image management system. The system's operation is improved by image processing techniques and parallel processing technology. Although image processing is largely a well understood problem, the technology for supporting it is still immature. Basically, it is a highly computationally intensive activity, and the purpose of our project was to address this very problem using parallel processing technology in the form of transputers. More specifically, we will describe the use of a transputer network in the development of an image database c

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Ai, Qingyao. "Neural generative models and representation learning for information retrieval." ACM SIGIR Forum 53, no. 2 (2019): 97. http://dx.doi.org/10.1145/3458553.3458565.

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Information Retrieval (IR) concerns about the structure, analysis, organization, storage, and retrieval of information. Among different retrieval models proposed in the past decades, generative retrieval models, especially those under the statistical probabilistic framework, are one of the most popular techniques that have been widely applied to Information Retrieval problems. While they are famous for their well-grounded theory and good empirical performance in text retrieval, their applications in IR are often limited by their complexity and low extendability in the modeling of high-dimensio

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Nguyen Mau, Toan, and Yasushi Inoguchi. "Locality-Sensitive Hashing for Information Retrieval System on Multiple GPGPU Devices." Applied Sciences 10, no. 7 (2020): 2539. http://dx.doi.org/10.3390/app10072539.

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It is challenging to build a real-time information retrieval system, especially for systems with high-dimensional big data. To structure big data, many hashing algorithms that map similar data items to the same bucket to advance the search have been proposed. Locality-Sensitive Hashing (LSH) is a common approach for reducing the number of dimensions of a data set, by using a family of hash functions and a hash table. The LSH hash table is an additional component that supports the indexing of hash values (keys) for the corresponding data/items. We previously proposed the Dynamic Locality-Sensit

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Ahmed, Khawaja Tehseen, Shahida Ummesafi, and Amjad Iqbal. "Content based image retrieval using image features information fusion." Information Fusion 51 (November 2019): 76–99. http://dx.doi.org/10.1016/j.inffus.2018.11.004.

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FENG, DAGAN (DAVID). "CONTENT-BASED RETRIEVAL OF MULTIMEDIA INFORMATION." International Journal of Image and Graphics 01, no. 01 (2001): 83–91. http://dx.doi.org/10.1142/s0219467801000074.

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The recent information explosion has led to massively increased demand for multimedia data storage and retrieval techniques. Content-based retrieval is an important alternative and complement to the traditional keyword-based searching for multimedia data and can greatly enhance information management. For the last ten years, the Biomedical and Multimedia Information Technology (BMIT) Group and recently the Center for Multimedia Signal Processing (CMSP) have conducted systematic studies and research activities on this topic. Some of the works relating to content-based image/video retrieval and

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Pillay, Karan Ravindran, and Omkar Upendra Khadilkar. "The Scalable Image Retrieval Systems and Applications." International Journal of Engineering and Computer Science 7, ``11 (2018): 24406–8. http://dx.doi.org/10.18535/ijecs/v7i11.03.

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Advances in information storage and image acquisition technologies have enabled the creation of enormous image datasets. during this situation, it's necessary to develop applicable data systems to with efficiency manage these collections. the most typical approaches use the supposed Content-Based Image Retrieval (CBIR) systems. Basically, these systems attempt to retrieve pictures like a user-defined specification or pattern (e.g., form sketch, image example). Their goal is to support image retrieval supported content properties (e.g., shape, color, texture), typically encoded into feature vec

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Yang, Wenjing, Liejun Wang, Shuli Cheng, Yongming Li, and Anyu Du. "Deep Hash with Improved Dual Attention for Image Retrieval." Information 12, no. 7 (2021): 285. http://dx.doi.org/10.3390/info12070285.

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Recently, deep learning to hash has extensively been applied to image retrieval, due to its low storage cost and fast query speed. However, there is a defect of insufficiency and imbalance when existing hashing methods utilize the convolutional neural network (CNN) to extract image semantic features and the extracted features do not include contextual information and lack relevance among features. Furthermore, the process of the relaxation hash code can lead to an inevitable quantization error. In order to solve these problems, this paper proposes deep hash with improved dual attention for ima

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D'Attoma, N., P. L. Pavan, M. Bertocco, and P. Dompieri. "Management of image information." Urologia Journal 61, no. 1 (1994): 51–54. http://dx.doi.org/10.1177/039156039406100111.

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Medical imaging has become a major investigation tool during the last few years, due to availability of several digitalised imaging modalities (Computed Tomography, Magnetic Resonance, etc.). Interest has grown in medical image management by appropriate information systems. These processing tools defined PACS - systems of acquisition, storage, transmission and communication - must be integrated on the one hand with the RIS - radiological information system (patient, appointment procedure) - and on the other hand with the HIS - hospital information system - to offer sufficient advantages to jus

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CHANG, CHIN-CHEN, JUN-CHOU CHUANG, and YIH-SHIN HU. "SIMILAR IMAGE RETRIEVAL BASED ON WAVELET TRANSFORMATION." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 02 (2004): 111–20. http://dx.doi.org/10.1142/s021969130400038x.

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In this paper, a novel similar image retrieval scheme based on wavelet transformation will be presented. Our scheme is built upon a block-based query system. Our new scheme employs the wavelet transformation technique to transform each block in the spatial domain to the wavelet domain. Then, from each transformed block, the mean value and the edge types are extracted. These extracted features are then used to compute the similarity between a query image and the images in the database. In order to increase the similarity in the query result, the current block can be further divided into many su

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Bhatta, Janardan. "Large-scale image search with text for information retrieval." Journal of Innovations in Engineering Education 4, no. 1 (2021): 87–89. http://dx.doi.org/10.3126/jiee.v4i1.35390.

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Searching images in a large database is a major requirement in Information Retrieval Systems. Expecting image search results based on a text query is a challenging task. In this paper, we leverage the power of Computer Vision and Natural Language Processing in Distributed Machines to lower the latency of search results. Image pixel features are computed based on contrastive loss function for image search. Text features are computed based on the Attention Mechanism for text search. These features are aligned together preserving the information in each text and image feature. Previously, the app

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Rorissa, Abebe, Paul Clough, William Hersh, Abebe Rorissa, and Miguel Ruiz. "ImageCLEF and ImageCLEFmed: Toward standard test collections for image storage and retrieval research." Proceedings of the American Society for Information Science and Technology 43, no. 1 (2007): 1–6. http://dx.doi.org/10.1002/meet.14504301130.

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Deutsch, E. S. "A Review of Some Electronic Text-Document Handling, Storage and Retrieval Systems." Journal of Information Technology 1, no. 2 (1986): 39–45. http://dx.doi.org/10.1177/026839628600100209.

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This paper investigates some of the currently available optical disk storage and retrieval systems, image manipulation systems and OCR systems. Future developments are presented and an attempt at outlining a longer term trend is made. The main conclusions of the paper are as follows: 1. Optical disk systems which are currently available are costly and are accompanied by excessive software and hardware capabilities which might be beyond the needs of the straightforward document storage and retrieval application. A tailor-made system to suit a specific application might be the route to follow pr

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JI, YA-LI, XIAO-PING CHENG, and NAI-QIN FENG. "ROBUST IMAGE RETRIEVAL APPROACH BASED ON CLUSTERING ANALYSIS OF RE-QUANTIZED COLOR IMAGE." International Journal of Wavelets, Multiresolution and Information Processing 05, no. 01 (2007): 213–25. http://dx.doi.org/10.1142/s0219691307001720.

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In this paper, we propose a robust approach about color image retrieval. It can realize fast matching in CBIR (Content-Based Image Retrieval) when we search in large image databases. Indexes root in object features of Z image which is the result of re-quantization in HSV color space, matching with a non-geometrical distance is based on objects, so time consumption pixel by pixel can be avoided. Because Z image is made up of many color clustering regions and invariant moments are used for feature representation, our approach is robust to translation, scale and rotation.

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JAIN, PAWAN, and S. N. MERCHANT. "WAVELET-BASED MULTIRESOLUTION HISTOGRAM FOR FAST IMAGE RETRIEVAL." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 01 (2004): 59–73. http://dx.doi.org/10.1142/s0219691304000354.

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Most of the content-based image retrieval systems require a distance computation of feature vectors for each candidate image in the image database. This exhaustive search is highly time-consuming and inefficient. This limits the usefulness of such system. Thus there is a growing need for a fast image retrieval system. Multiresolution data-structure algorithm provides a good solution to the above problem. In this paper we propose a wavelet-based multiresolution data-structure algorithm. Wavelet-based multiresolution data-structure further reduce the number of computation by around 50%. In the p

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KITH, KIMCHENG, BAREND J. VAN WYK, and MICHAËL A. VAN WYK. "THE NORMALIZED WAVELET DESCRIPTOR FOR SHAPE RETRIEVAL." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 01 (2008): 25–36. http://dx.doi.org/10.1142/s0219691308002197.

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In many image analysis applications, such as image retrieval, the shape of an object is of primary importance. In this paper, a new shape descriptor, namely the Normalized Wavelet Descriptor (NWD), which is a generalization and extension of the Wavelet Descriptor (WD), is introduced. The NWD is compared to the Fourier Descriptor (FD), which in image retrieval experiments conducted by Zhang and Lu, outperformed even the Curvature Scale Space Descriptor (CSSD). Image retrieval experiments have been conducted using a dataset containing 2D-contours of 1400 objects extracted from the standard MPEG7

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Gururaj, C., and Satish Tunga. "AI Based Feature Extraction Through Content Based Image Retrieval." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4050–54. http://dx.doi.org/10.1166/jctn.2020.9018.

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Therapeutic pictures are progressively being utilized inside human services for conclusion, arranging treatment, controlling treatment and checking sickness movement. In reality, helpful imaging prevalently shapes vague, missing, dubious, essential, clashing, dull restricting, contorted data additionally, information has a strong fundamental character. The proposed approach can be used to achieve the accuracy by using the artificial intelligence techniques wherein the disease level is identified by comparing it with the artificial intelligence data. The two fold merit of this system is it prov

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KSANTINI, R., D. ZIOU, and F. DUBEAU. "IMAGE RETRIEVAL BASED ON REGION SEPARATION AND MULTIRESOLUTION ANALYSIS." International Journal of Wavelets, Multiresolution and Information Processing 04, no. 01 (2006): 147–75. http://dx.doi.org/10.1142/s0219691306001142.

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In this paper, a simple and fast querying method for content-based image retrieval is represented. Using the multispectral gradient, a color image is split into two disjoint parts that are the homogeneous color regions and the edge regions. The homogeneous regions are represented by the traditional color histograms, and the edge regions are represented by the multispectral gradient module mean histograms. In order to measure the similarity degree between two color images both quickly and effectively, we use a one-dimensional pseudo-metric, which makes use of the one-dimensional Daubechies deco

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Jang, Wonyoung, and Sun-Young Lee. "Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment." International Journal of Distributed Sensor Networks 16, no. 3 (2020): 155014772091477. http://dx.doi.org/10.1177/1550147720914779.

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Concomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet of things, drones, and closed-circuit television, can collect images of people and automatically share them with networks. Consequently, the threat of invasion of privacy by image leakage has increased exponentially. However, traditional image-security methods, such as privacy masking and image encryption, have several disadvantages, including storage space wastage associated with data padding, inabi

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Adams, Audrey M. "Putting the horse before the cart: rapid access to data banks by the ‘SIGNPOSTS’* method." Indexer: The International Journal of Indexing: Volume 18, Issue 1 18, no. 1 (1992): 3–9. http://dx.doi.org/10.3828/indexer.1992.18.1.3.

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Document Image Processing (DIP) provides an efficient computer storage of information. Efficient retrieval of information is equally important and requires good indexing. This is a semantics prob lem only human indexers can solve. Data banks even more than books require good indexers to provide efficient access to information. ‘SIGNPOSTS’ provides a matrix for establishing a fully articulated index for databases.

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Chan, Chee-Yong, and Louis F. Pau. "A Survey of Access Methods for Image Data." International Journal of Software Engineering and Knowledge Engineering 07, no. 03 (1997): 305–19. http://dx.doi.org/10.1142/s0218194097000199.

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The feasibility of storing large amount of digital images and the pictorial-oriented nature of many applications have attracted much interest in pictorial information systems. An important issue in such systems is the efficient retrieval of image based on its contents. Supporting content-based retrieval of image data is a difficult problem and embraces different technologies including image processing, user interface design, and database management. To provide efficient content-based retrieval, efficient access methods based on image features are required. This paper presents a survey of index

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Zagoris, Konstantinos, Kavallieratou Ergina, and Nikos Papamarkos. "Image retrieval systems based on compact shape descriptor and relevance feedback information." Journal of Visual Communication and Image Representation 22, no. 5 (2011): 378–90. http://dx.doi.org/10.1016/j.jvcir.2011.03.002.

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Kumar, Mohit, and Joondong Kim. "Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems." Applied Sciences 10, no. 23 (2020): 8358. http://dx.doi.org/10.3390/app10238358.

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Spatiotemporal information processing within the human brain is done by a joint task of neurons and synapses with direct optical inputs. Therefore, to mimic this neurofunction using photonic devices could be an essential step to design future artificial visual recognition and memory storage systems. Herein, we proposed and developed a proof-of-principle two-terminal device that exhibits key features of neuron (integration, leaky, and relaxation) and synapse (short- and long-term memory) together in response with direct optical input stimuli. Importantly, these devices with processing and memor

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Mackenzie, Joel M. "Managing tail latency in large scale information retrieval systems." ACM SIGIR Forum 54, no. 1 (2020): 1–2. http://dx.doi.org/10.1145/3451964.3451982.

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As both the availability of internet access and the prominence of smart devices continue to increase, data is being generated at a rate faster than ever before. This massive increase in data production comes with many challenges, including efficiency concerns for the storage and retrieval of such large-scale data. However, users have grown to expect the sub-second response times that are common in most modern search engines, creating a problem --- how can such large amounts of data continue to be served efficiently enough to satisfy end users? This dissertation investigates several issues rega

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Chamtitigul, Nattaya, and Weining Li. "The influence of ethical leadership and team learning on team performance in software development projects." Team Performance Management: An International Journal 27, no. 3/4 (2021): 240–59. http://dx.doi.org/10.1108/tpm-02-2020-0014.

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Purpose The purpose of this paper is to examine the effect of team learning processes (information acquisition, information processing and information storage and retrieval) on team performance in software development projects and to assess the effect of ethical leadership and its influence on these processes. Design/methodology/approach The authors examined 354 software development project teams in Thailand. A quantitative study was conducted through a Web-based survey, with structural equation modelling used to test the hypotheses. Findings The results of this study revealed that ethical lea

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Smyrnis, Nikolaos, Giovanni d'Avossa, Christos Theleritis, Asimakis Mantas, Alpay Ozcan, and Ioannis Evdokimidis. "Parallel Processing of Spatial and Serial Order Information Before Moving to a Remembered Target." Journal of Neurophysiology 93, no. 6 (2005): 3703–8. http://dx.doi.org/10.1152/jn.00972.2004.

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Information storage and retrieval from working memory is limited by the capacity of storage mechanisms and attentional processes. Nevertheless, it has been shown that processing of multiple features can proceed independently in working memory. In this study we investigated how serial order and directional information are processed when executing a movement to a remembered target direction. We compared the performance of 11 healthy subjects in 3 motor working memory tasks, one with a varying spatial memory load, one with a varying serial order memory load, and one in which memory load was varie

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SHI, Dong-cheng, Lan XU, and Ling-yan HAN. "Image retrieval using both color and texture features." Journal of China Universities of Posts and Telecommunications 14 (October 2007): 94–99. http://dx.doi.org/10.1016/s1005-8885(08)60020-5.

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Apostolova, Emilia, Daekeun You, Zhiyun Xue, Sameer Antani, Dina Demner-Fushman, and George R. Thoma. "Image retrieval from scientific publications: Text and image content processing to separate multipanel figures." Journal of the American Society for Information Science and Technology 64, no. 5 (2013): 893–908. http://dx.doi.org/10.1002/asi.22810.

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Wang, Xi, Taizheng Chen, Dongwei Li, and Shiqi Yu. "Processing Methods for Digital Image Data Based on the Geographic Information System." Complexity 2021 (June 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/2319314.

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Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. Geographic information system (GIS) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distributi

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Raju, U. S. N., K. Suresh Kumar, Pulkesh Haran, Ramya Sree Boppana, and Niraj Kumar. "Content-based image retrieval using local texture features in distributed environment." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (2019): 1941001. http://dx.doi.org/10.1142/s0219691319410017.

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In this paper, we propose novel content-based image retrieval (CBIR) algorithms using Local Octa Patterns (LOtP), Local Hexadeca Patterns (LHdP) and Direction Encoded Local Binary Pattern (DELBP). LOtP and LHdP encode the relationship between center pixel and its neighbors based on the pixels’ direction obtained by considering the horizontal, vertical and diagonal pixels for derivative calculations. In DELBP, direction of a referenced pixel is determined by considering every neighboring pixel for derivative calculations which results in 256 directions. For this resultant direction encoded imag

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Syam, B., and Y. Srinivasa Rao. "Feature Set Processing using Multi-Objective Optimization Algorithm to Improve Content-based Image Retrieval System." International Journal of Business Information Systems 35, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijbis.2020.10016983.

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Syam, B., and Y. Srinivasa Rao. "Feature set processing using multi-objective optimisation algorithm to improve content-based image retrieval system." International Journal of Business Information Systems 34, no. 2 (2020): 253. http://dx.doi.org/10.1504/ijbis.2020.108347.

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Park, Bo Gun, Kyoung Mu Lee, and Sang Uk Lee. "Color-Based Image Retrieval Using Perceptually Modified Hausdorff Distance." EURASIP Journal on Image and Video Processing 2008 (2008): 1–10. http://dx.doi.org/10.1155/2008/263071.

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Li, Yansheng, Jiayi Ma, and Yongjun Zhang. "Image retrieval from remote sensing big data: A survey." Information Fusion 67 (March 2021): 94–115. http://dx.doi.org/10.1016/j.inffus.2020.10.008.

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Güld, M. O., C. Thies, B. Fischer, et al. "Content-based Image Retrieval in Medical Applications." Methods of Information in Medicine 43, no. 04 (2004): 354–61. http://dx.doi.org/10.1055/s-0038-1633877.

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Summary Objectives: To develop a general structure for semantic image analysis that is suitable for content-based image retrieval in medical applications and an architecture for its efficient implementation. Methods: Stepwise content analysis of medical images results in six layers of information modeling incorporating medical expert knowledge (raw data layer, registered data layer, feature layer, scheme layer, object layer, knowledge layer). A reference database with 10,000 images categorized according to the image modality, orientation, body region, and biological system is used. By means of

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Yakin, Syamsul, Tasrif Hasanuddin, and Nia Kurniati. "Application of content based image retrieval in digital image search system." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 1122–28. http://dx.doi.org/10.11591/eei.v10i2.2713.

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Multimedia data is growing rapidly in the current digital era, one of which is digital image data. The increasing need for a large number of digital image datasets makes the constraints faced eventually drain a lot of time and cause the process of image description to be inconsistent. Therefore, a method is needed in processing the data, especially in searching digital image data in large image dataset to find image data that are relevant to the query image. One of the proposed methods for searching information based on image content is content based image retrieval (CBIR). The main advantage

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Rez, Peter, and D. J. Fathers. "Computer system architecture for image and spectral processing." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 92–95. http://dx.doi.org/10.1017/s0424820100125415.

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In this paper we shall discuss digital imaging and spectroscopy systems from the perspective of a system designer and we shall concentrate on those design choices that limit performance in microscopy and analysis applications. The hardware of a computer system can be broken down into three main components. These are the processor which performs arithmetic and logical operations, the memory for storing data and instructions and the peripherals for long term data storage (disks, tapes) and communication with the outside world. Linking these components is a data highway or bus for passing digital

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Estrela, Vania V. "Content-Based Image Retrieval (CBIR) in Big Histological Image Databases." Medical Technologies Journal 4, no. 3 (2020): 581–82. http://dx.doi.org/10.26415/2572-004x-vol4iss3p581-582.

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Background: Automatic analysis of Histopathological Images (HIs) demands image processing and Computational Intelligence (CI) techniques. Both Computer-Aided Diagnosis (CAD) and Content-Based Image-Retrieval (CBIR) systems assist diagnosis, disease discovery, and biological decision-making. Classical tests comprise screening examinations and biopsy. Histopathology slides offer more ample diagnosis data. However, manual examination of microscopic images is labor-intensive and time-consuming and may depend on a subjective assessment by the pathologist, which can be a challenge. Methods: Th

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Wang, Wei Hua. "The Design and Implementation of a Video Image Acquisition System Based on VFW." Applied Mechanics and Materials 380-384 (August 2013): 3787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3787.

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Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the vid

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Zaiyi, Pu, Yang Kun, and Wang Chaobin. "Distributed Network Image Processing System and Transmission Control Algorithm." Security and Communication Networks 2021 (May 7, 2021): 1–10. http://dx.doi.org/10.1155/2021/5517843.

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With the increasing use of Internet technologies, image data is spreading more and more on the Internet. Whether it is a social network or a search engine, a large amount of image data is generated. By studying the distributed network image processing system and transmission control algorithm, this paper proposes a more accurate gradient calculation method based on the SIFT algorithm. It is concluded that the performance of the proposed algorithm is slightly better than that of the original algorithm, so the system is implemented. On the basis of reducing the performance of the original algori

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Xiao, Qin. "Resource Classification and Knowledge Aggregation of Library and Information Based on Data Mining." Ingénierie des systèmes d information 25, no. 5 (2020): 645–53. http://dx.doi.org/10.18280/isi.250512.

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The traditional knowledge service systems have nonuniform data structures. Some data are structured, while some are semi-structured and even non-structured. Big data technology helps to optimize the integration and retrieval of the massive data on library and information (L&I), making it possible to classify the resources and optimize the configuration of L&I resource platforms according to user demand. Therefore, this paper introduces the new information service model of big data resources and knowledge services to the processing of L&I data. Firstly, the data storage structure an

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Kubo, Masaaki, Zaher Aghbari, Akifumi Makinouchi, and Kun-Seok Oh. "Content-Based Image Retrieval Technique Using Wavelet-Based Shift and Brightness Invariant Edge Feature." International Journal of Wavelets, Multiresolution and Information Processing 01, no. 02 (2003): 163–78. http://dx.doi.org/10.1142/s0219691303000141.

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This paper proposes a technique for indexing, clustering and retrieving images based on their edge features. In this technique, images are decomposed into several frequency bands using the Haar wavelet transform. From the one-level decomposition sub-bands an edge image is formed. Next, the higher order autocorrelation function is applied on the edge image to extract the edge features. These higher order autocorrelation features are normalized to generate a compact feature vector, which is invariant to shift, image size and gray level. Then, these feature vectors are clustered by a self-organiz

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LU, WEN, XINBO GAO, DACHENG TAO, and XUELONG LI. "A WAVELET-BASED IMAGE QUALITY ASSESSMENT METHOD." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (2008): 541–51. http://dx.doi.org/10.1142/s0219691308002501.

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Image quality is a key characteristic in image processing,10,11 image retrieval,12,13 and biometrics.14 In this paper, a novel reduced-reference image quality assessment method is proposed based on wavelet transform. By simulating the human visual system, we take the variance of the visual sensitive coefficients into account to measure a distorted image. The computational complexity of the proposed method is much lower compared with some existing methods. Experimental results demonstrate its advantages in terms of correlation coefficient, outlier ratio, transmitted information, and CPU cost. M

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Névéol, Aurélie, Thomas M. Deserno, Stéfan J. Darmoni, Mark Oliver Güld, and Alan R. Aronson. "Natural language processing versus content-based image analysis for medical document retrieval." Journal of the American Society for Information Science and Technology 60, no. 1 (2009): 123–34. http://dx.doi.org/10.1002/asi.20955.

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Gong, Leiguang, and Casimir A. Kulikowski. "Medical Image Processing in an Era of High-Performance Computing." Yearbook of Medical Informatics 03, no. 01 (1994): 61–68. http://dx.doi.org/10.1055/s-0038-1637994.

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AbstractAdvanced radiology practices are already benefiting from powerful and increasingly more economical computing and networking facilities. Medical image processing methods have improved dramatically over the past five years, with sophisticated 3D display, visualization and analysis techniques allowing increased integration of multiple modalities of imaging, flexible environments for imaging analysis, and P ACS (picture archiving and communication systems) for ease of transmission and retrieval. Emerging directions involve teleradiology and telesurgery virtual reality applications, the dev

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Li, Yue, and Ran Liu. "A Study in the Technology Implementation of the Network Massive Information Processing Platform." Applied Mechanics and Materials 347-350 (August 2013): 2993–97. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2993.

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With the popularity and development of the network, the support of the high-performance computer technology becomes increasingly important as the huge information storage and the convenience of Information retrieval function of the internet that attracts more and more people join the netizens team. Therefore, I proposed an Information Processing Platform based on the high performance data mining in order to improve the Internet mass information intelligence parallel processing functions and the integrated development of the systems information storage, management, integration, intelligence pro

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Li, Weijiang, Jing Yi, and Xin Qi. "A New Square Grid-Based Method for Identifying Solar Activities." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 12 (2018): 1850047. http://dx.doi.org/10.1142/s0218001418500477.

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The FITS is widely used as a common file format in astronomy. However, how to detect an effective celestial event from large-scale astronomical images with complex background is a thorny issue. This paper proposes a square grid structure for target detection (GSTD) of solar activities, inncluding the separation of the target area and the deletion of the background area. This kind of processing can greatly reduce the storage cost of the data set, while the solar activity area can be well preserved. The solar image is operated through an equally sized square grid to separate the solar activity t

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Sun, Bo, Abdullah M. Iliyasu, Fei Yan, Fangyan Dong, and Kaoru Hirota. "An RGB Multi-Channel Representation for Images on Quantum Computers." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 3 (2013): 404–17. http://dx.doi.org/10.20965/jaciii.2013.p0404.

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RGB multi channel representation is proposed for images on quantum computers (MCQI) that captures information about colors (RGB channels) and their corresponding positions in an image in a normalized quantum state. The proposed representation makes it possible to store the RGB information about an image simultaneously by using 2n+3 qubits for encoding 2n× 2npixel images, whereas pixel-wise processing is necessary in many other quantum image representations, e.g., qubit lattice, grid qubit, and quantum lattice. Simulation of storage and retrieval of MCQI images using human facial images demonst

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Matte, Christopher-Denny, Michael Pearson, Felix Trottier-Cournoyer, Andrew Dafoe, and Tsz Ho Kwok. "Automated storage and active cleaning for multi-material digital-light-processing printer." Rapid Prototyping Journal 25, no. 5 (2019): 864–74. http://dx.doi.org/10.1108/rpj-08-2018-0211.

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PurposeThe purpose of this paper is to introduce a novel technique for printing with multiple materials using the DLP method. Digital-light-processing (DLP) printing uses a digital projector to selectively cure a full layer of resin using a mask image. One of the challenges with DLP printing is the difficulty of incorporating multiple materials within the same part. As the part is cured within a liquid basin, resin switching introduces issues of cross-contamination and significantly increased print time.Design/methodology/approachThe material handling challenges are investigated and addressed

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Zheng, Peng, Zebin Wu, Jin Sun, et al. "A Parallel Unmixing-Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms." Remote Sensing 13, no. 2 (2021): 176. http://dx.doi.org/10.3390/rs13020176.

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As the volume of remotely sensed data grows significantly, content-based image retrieval (CBIR) becomes increasingly important, especially for cloud computing platforms that facilitate processing and storing big data in a parallel and distributed way. This paper proposes a novel parallel CBIR system for hyperspectral image (HSI) repository on cloud computing platforms under the guide of unmixed spectral information, i.e., endmembers and their associated fractional abundances, to retrieve hyperspectral scenes. However, existing unmixing methods would suffer extremely high computational burden w

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