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Journal articles on the topic 'Video compression algorithms'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2022.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2023.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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Rajasekhar, H., and B. Prabhakara Rao. "An Efficient Video Compression Technique Using Watershed Algorithm and JPEG-LS Encoding." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6671–79. http://dx.doi.org/10.1166/jctn.2016.5613.

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In the previous video compression method, the videos were segmented by using the novel motion estimation algorithm with aid of watershed method. But, the compression ratio (CR) of compression with novel motion estimation algorithm was not giving an adequate result. Moreover this methods performance is needed to be improved in the encoding and decoding processes. Because most of the video compression methods have utilized encoding techniques like JPEG, Run Length, Huffman coding and LSK encoding. The improvement of the encoding techniques in the compression process will improve the compression

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Fitrya, Soraya Ainun. "Perbandingan Algoritma Elias Omega Code Dan Elias Delta Code Dalam Mengkompresi File Video (Mp4)." Bulletin of Information System Research 1, no. 3 (2023): 110–19. https://doi.org/10.62866/bios.v1i3.29.

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The video file size is quite large where the better the video file quality and the longer the video file time, the file size is quite large in storing the file. With the video file size which greatly affects the length of time the video file is sent. The solution to this problem is to compress the video file. There are many algorithms in video file compression, for example the elias omega code algorithm, elias delta code, stout code, punctured elias code and many other compression algorithms. So with so many algorithms, it is necessary to test several compression algorithms or algorithm compar

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Kadhim, Amal Abbas, Azal Minshed Abid, and Zuhair Hussein Ali. "Subject Review: Video Compression Algorithms." International Journal of Engineering Research and Advanced Technology 06, no. 11 (2020): 21–25. http://dx.doi.org/10.31695/ijerat.2020.3668.

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Zhu, Ye. "An investigation of machine learning-based video compression techniques." Applied and Computational Engineering 47, no. 1 (2024): 23–27. http://dx.doi.org/10.54254/2755-2721/47/20241113.

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As video technology continues to seamlessly weave itself into the fabric of daily life, there is a growing need for enhanced storage and efficient video transmission. This surge in demand has led to heightened expectations and standards for video compression technology. Machine learning as an up-and-coming technology can play its advantages in the field of video compression. This article reviews the current state of research on combining video compression techniques with machine learning. The article provides an overview of various research avenues for enhancement, spanning from conventional v

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Mochurad, Lesia. "A Comparison of Machine Learning-Based and Conventional Technologies for Video Compression." Technologies 12, no. 4 (2024): 52. http://dx.doi.org/10.3390/technologies12040052.

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The growing demand for high-quality video transmission over bandwidth-constrained networks and the increasing availability of video content have led to the need for efficient storage and distribution of large video files. To improve the latter, this article offers a comparison of six video compression methods without loss of quality. Particularly, H.255, VP9, AV1, convolutional neural network (CNN), recurrent neural network (RNN), and deep autoencoder (DAE). The proposed decision is to use a dataset of high-quality videos to implement and compare the performance of classical compression algori

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Et. al., G. Megala,. "State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (2021): 1256–72. http://dx.doi.org/10.17762/turcomat.v12i5.1793.

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Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standard

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Pandit, Shraddha, Piyush Kumar Shukla, Akhilesh Tiwari, Prashant Kumar Shukla, Manish Maheshwari, and Rachana Dubey. "Review of video compression techniques based on fractal transform function and swarm intelligence." International Journal of Modern Physics B 34, no. 08 (2020): 2050061. http://dx.doi.org/10.1142/s0217979220500617.

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Data processing with multiple domains is an important concept in any platform; it deals with multimedia and textual information. Where textual data processing focuses on a structured or unstructured way of data processing which computes in less time with no compression over the data, multimedia data are processing deals with a processing requirement algorithm where compression is needed. This involve processing of video and their frames and compression in short forms such that the fast processing of storage as well as the access can be performed. There are different ways of performing compress

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Prajapati, Y. N., and M. K. Srivastava. "Novel algorithms for protective digital privacy." IAES International Journal of Robotics and Automation (IJRA) 8, no. 3 (2019): 184–88. https://doi.org/10.11591/ijra.v8i3.pp184-188.

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Video is the recording, reproducing, or broadcasting of moving visual images. Visual multimedia source that combines a sequence of images to form a moving picture. The video transmits a signal to a screen and processes the order in which the screen captures should be shown. Videos usually have audio components that correspond with the pictures being shown on the screen. Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network and stored on computer disks. With efficient compression techniques, a sign

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Bolbakov, R. G., V. A. Mordvinov, and A. D. Makarevich. "Comparative analysis of compression algorithms for four-dimensional light fields." Russian Technological Journal 10, no. 4 (2022): 7–17. http://dx.doi.org/10.32362/2500-316x-2022-10-4-7-17.

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Objectives. The widespread use of systems for capturing light fields is due to the high quality of the reproduced image. This type of capture, although qualitatively superior to traditional methods to capturing volumetric images, generates a huge amount of data needed to reconstruct the original captured 4D light field. The purpose of the work is to consider traditional and extended to four-dimensional image compression algorithms, to perform a comparative analysis and determine the most suitable.Methods. Mathematical methods of signal processing and methods of statistical analysis are used.Re

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Gill, Harsimranjit Singh, Tarandip Singh, Baldeep Kaur, Gurjot Singh Gaba, Mehedi Masud, and Mohammed Baz. "A Metaheuristic Approach to Secure Multimedia Big Data for IoT-Based Smart City Applications." Wireless Communications and Mobile Computing 2021 (October 4, 2021): 1–10. http://dx.doi.org/10.1155/2021/7147940.

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Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a serious concern to the data confidentiality and availability. In this paper, a cryptographic algorithm, Advanced Encryption Standard, is used to conceal the information from malicious intruders. However, in order to utilize fewer system resources

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Hrytsko, T. L., D. Lenskiy, and V. S. Hlukhov. "REVIEW OF THE CAPABILITIES OF THE JPEG-LS ALGORITHM FOR ITS USE WITH EARTH SURFACE SCANNERS." Computer systems and network 6, no. 2 (2024): 14–24. https://doi.org/10.23939/csn2024.02.014.

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The article explores the possibilities of implementing the JPEG-LS image compression algorithm on Field Programmable Gate Arrays (FPGA) for processing monochrome video streams from Earth surface scanners. A comparison of software implementations of the algorithms, their compression ratio, and execution time is conducted. Methods for improving FPGA performance are considered, using parallel data processing and optimized data structures to accelerate compression and decompression processes. Test results of the software implementation of the algorithm show an average processing speed of 179.2 Mbi

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Hrytsko, T. L., D. Lenskiy, and V. S. Hlukhov. "REVIEW OF THE CAPABILITIES OF THE JPEG-LS ALGORITHM FOR ITS USE WITH EARTH SURFACE SCANNERS." Computer systems and network 6, no. 2 (2024): 15–25. https://doi.org/10.23939/csn2024.02.015.

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The article explores the possibilities of implementing the JPEG-LS image compression algorithm on Field Programmable Gate Arrays (FPGA) for processing monochrome video streams from Earth surface scanners. A comparison of software implementations of the algorithms, their compression ratio, and execution time is conducted. Methods for improving FPGA performance are considered, using parallel data processing and optimized data structures to accelerate compression and decompression processes. Test results of the software implementation of the algorithm show an average processing speed of 179.2 Mbi

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Arjun, Mantri, Kathiriya Satish, and S. Yadav Purshotam. "Optimizing Video Encoding and Streaming Quality on Social Media Platforms." Journal of Scientific and Engineering Research 9, no. 12 (2022): 177–81. https://doi.org/10.5281/zenodo.13348093.

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In the era of digital communication, social media platforms have become essential for sharing video content. To meet user expectations for high-quality video without buffering or lag, these platforms employ sophisticated video encoding and streaming techniques. This paper examines methods for optimizing video encoding and streaming quality, focusing on adaptive bitrate streaming (ABR) and advanced video compression algorithms. ABR adjusts video quality in real-time based on network conditions, while compression algorithms like H.264, H.265 (HEVC), and VP9 reduce file sizes without compromising

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Hu, Yu. "Some Technologies about Video Compression." Advanced Materials Research 393-395 (November 2011): 284–87. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.284.

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Many strategies can be developed into mature algorithms to compress video more efficiently than today’s standardized codecs. Future video compression algorithms may employ more adaptability, more refined temporal and spatial prediction models with better distortion metrics. The cost to users is the significant increase of implementation complexity at both the encoder and decoder. Fortunately, it seems that bitrates have a slower doubling time than computing power, so the disadvantage of increasing implementation complexity may one day be balanced with much improved processor capabilities. Deve

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Prajapati, Y. N., and M. K. Srivastava. "Novel algorithms for protective digital privacy." IAES International Journal of Robotics and Automation (IJRA) 8, no. 3 (2019): 184. http://dx.doi.org/10.11591/ijra.v8i3.pp184-188.

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Video is the recording, reproducing, or broadcasting of moving visual images. Visual multimedia source that combines a sequence of images to form a moving picture. The video transmits a signal to a screen and processes the order in which the screen captures should be shown. Videos usually have audio components that correspond with the pictures being shown on the screen. Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network and stored on computer disks. With efficient compression techniques, a sign

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18

Tuithung, T., S. K. Ghosh, and Jayanta Mukherjee. "Motion Compensated JPEG2000 based video compression algorithms." International Journal of Signal and Imaging Systems Engineering 1, no. 3/4 (2008): 197. http://dx.doi.org/10.1504/ijsise.2008.026791.

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19

Olstad, Bjoern. "Adaptive temporal decimation for video compression algorithms." Journal of Electronic Imaging 2, no. 1 (1993): 5. http://dx.doi.org/10.1117/12.130194.

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Sikora, T., and E. Viscito. "Compression algorithms for software coding of video." Signal Processing: Image Communication 8, no. 1 (1996): 1–2. http://dx.doi.org/10.1016/0923-5965(96)82990-0.

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Deepti, K. "Video Compression with Diverse Contexts Using JPEG." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45542.

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Abstract—In the rapidly evolving digital landscape, efficient video compression is paramount for enhancing storage capacity and streaming performance without sacrificing quality. This project introduces an innovative approach to video compression, with well-established JPEG compression algorithm through a streamlined Python implementation to perform video compres- sion while maintaining impeccable visual fidelity. The standout feature of our Video Compression with Diverse Context (VC- DC) technique is its ability to significantly improve bitrate savings, achieving an impressive increase from 2

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González, Fernández Edgar, Orozco Ana Lucila Sandoval, and Villalba Luis Javier García. "Digital Video Manipulation Detection Technique Based on Compression Algorithms." IEEE Transactions on Intelligent Transportation Systems 23, no. 3 (2021): 2596–605. https://doi.org/10.1109/TITS.2021.3132227.

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Digital images and videos play a very important role in everyday life. Nowadays, people have access the affordable mobile devices equipped with advanced integrated cameras and powerful image processing applications. Technological development facilitates not only the generation of multimedia content, but also the intentional modification of it, either with recreational or malicious purposes. This is where forensic techniques to detect manipulation of images and videos become essential. This paper proposes a forensic technique by analysing compression algorithms used by the H.264 coding. The pre

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Chiman, Kwan, Larkin Jude, Budavari Bence, Shang Eric, and D. Tran Trac. "Perceptually Lossless Compression with Error Concealment for Periscope and Sonar Videos." Signal & Image Processing: An International Journal (SIPIJ) 10, February (2019): 1–14. https://doi.org/10.5281/zenodo.3187693.

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We present a video compression framework that has two key features. First, we aim at achieving perceptually lossless compression for low frame rate videos (6 fps). Four well-known video codecs in the literature have been evaluated and the performance was assessed using four well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual videos have been performed to demonstrate the proposed framework

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Smirnov, Kirill, and Anastasia Mozhaeva. "ANALYSIS OF VIDEO DATA COMPRESSION ALGORITHMS AND OPTIMIZED FOR USE IN REMOTELY CONTROLLED DRONES." SYNCHROINFO JOURNAL 9, no. 2 (2023): 9–16. http://dx.doi.org/10.36724/2664-066x-2023-9-2-9-16.

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Due to the widespread use of unmanned aerial vehicles (UAVs) in the civil sphere, there is a need to improve the video image generation quality and transmission technologies, changing the video streams coding to reduce their size and improve quality. Video streaming technologies are moving further towards complicating the video transmission systems used, which helps improve the received video data quality. Higher of transmitted video signal quality – more requirements for frequency band increase used. This fact leads us to use effective video compression algorithms that allow us to combine hig

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Basha, Sardar N., and A. Rajesh. "Scalable Video Coding Using Accordion Discrete Wavelet Transform and Tucker Decomposition for Multimedia Applications." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 601–8. http://dx.doi.org/10.1166/jctn.2019.7777.

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The digital world demands the transmission and storage of high quality video for streaming and broadcasting applications, the constraints are the network bandwidth and the memory of devices for the various multimedia and scientific applications, the video consists of spatial and temporal redundancies. The objective of any video compression algorithm is to eliminate the redundant information from the video signal during compression for effective transmission and storage. The correlation between the successive frames has not been exploited enough by the current compression algorithms. In this pa

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Fahmi, S. Sh, A. G. Davidchuk, and E. V. Kostikova. "New Lossless Compression Algorithms for Transport Images." INFORMACIONNYE TEHNOLOGII 27, no. 6 (2021): 299–305. http://dx.doi.org/10.17587/it.27.299-305.

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The article considers the relevance of the development of lossless image compression and transmission algorithms and their application for creating transport video surveillance systems. A brief overview of lossless transport image compression methods is provided. We propose a method for compressing transport plots based on the pyramid-recursive method of splitting the source image into polygons of various shapes and sizes. We consider two new algorithms for implementing the proposed method that are fundamentally different from each other: with a transition to the spectral region and without a

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Nithya, P., T. Vengattaraman, and M. Sathya. "Survey On Parameters of Data Compression." REST Journal on Data Analytics and Artificial Intelligence 2, no. 1 (2023): 1–7. http://dx.doi.org/10.46632/jdaai/2/1/1.

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The rapid development in the hardware and the software gives rise to data growth. This data growth has numerous impacts, including the need for a larger storage capacity for storing and transmitting. Data compression is needed in today’s world because it helps to minimize the amount of storage space required to store and transmit data. Performance measures in data compression are used to evaluate the efficiency and effectiveness of data compression algorithms. In recent times, numerous data compression algorithms are developed to reduce data storage and increase transmission speed in this inte

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SANKARAGOMATHI, B., L. GANESAN, and S. ARUMUGAM. "ENCODING VIDEO SEQUENCES IN FRACTAL-BASED COMPRESSION." Fractals 15, no. 04 (2007): 365–78. http://dx.doi.org/10.1142/s0218348x0700371x.

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With the rapid increase in the use of computers and the Internet, the demand for higher transmission and better storage is increasing as well. This paper describes the different techniques for data (image-video) compression in general and, in particular, the new compression technique called fractal image compression. Fractal image compression is based on self-similarity, where one part of an image is similar to the other part of the same image. Low bit rate color image sequence coding is very important for video transmission and storage applications. The most significant aspect of this work is

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Goncalves, Paulo, Candido Moraes, Marcelo Porto, and Guilherme Correa. "Complexity-Aware TZS Algorithm for Mobile Video Encoders." Journal of Integrated Circuits and Systems 14, no. 3 (2019): 1–9. http://dx.doi.org/10.29292/jics.v14i3.60.

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Video applications are significantly growing in the last years, especially in embedded/mobile systems. Modern video compression algorithms and standards, such as the High Efficiency Video Coding (HEVC), achieved a high efficiency in compression ratio. However, such efficiency has caused an augment on the complexity to encode videos. This is a serious problem especially in mobile systems, which present restrictions on processing and energy consumption. This paper presents an enhanced Test Zone Search (TZS) algorithm, aiming at complexity reduction of the Motion Estimation (ME) process in the HE

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Селиверстов, Я. А., Н. Ю. Пышкина, Ш. С. Фахми, and Я. А. Хасан. "Systematization of algorithms for spectral processing of marine images." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 1(55) (March 3, 2022): 215–20. http://dx.doi.org/10.37220/mit.2022.55.1.029.

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Сжатие изображений в настоящее время имеет важное значение для таких приложений, как передача и хранение информации при проектировании морских систем наблюдения и управления. Анализируются процессы спектрального сжатия изображений и типы избыточности информации. В этой статье рассмотрена проблема систематизации и выбора оптимального алгоритма сжатия изображений в зависимости от заданных требований по качеству передаваемой видеоинформации и пропускной способности канала связи. Предложена систематизация алгоритмов сжатия и восстановления морских изображений на основе спектральных преобразований

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P, Madhavee Latha, and Annis Fathima A. "REVIEW ON IMAGE AND VIDEO COMPRESSION STANDARDS." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 373. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19760.

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Nowadays, the number of photos taken each day is growing exponentially on phones and the number of photos uploading on Internet is also increasing rapidly. This explosion of photos in Internet and personal devices such as phones posed a challenge to the effective storage and transmission.Multimedia files are the files having text, images, audio, video, and animations, which are large and require lots of hard disk space. Hence, these files take more time to move from one place to another place over the Internet. Image compression is an effective way to reduce the storage space and speedup the t

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Padmanabhan, S. Anantha, and Krishna Kumar. "An Efficient Video Compression Encoder Based on Wavelet Lifting Scheme in LSK." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7581–91. http://dx.doi.org/10.1166/jctn.2016.5756.

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This paper presents a video compression system using wavelet lifting scheme. Video compression algorithms (“codecs”) manipulate video signals to dramatically reduce the storage and bandwidth required while maximizing the perceived video quality. There are four common methods for compression; discrete cosine transforms (DCT), vector quantization (VQ), fractal compression, and discrete wavelet transform (DWT). A gradient based motion estimation algorithm based on shapemotion prediction is used which takes advantage of the correlation between neighboring Binary Alpha Blocks (BABs), to match with

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Khanov, Alexander, Anastasija Shulzhenko, Anzhelika Voroshilova, Alexander Zubarev, Timur Karimov, and Shakeeb Fahmi. "Determining Thresholds for Optimal Adaptive Discrete Cosine Transformation." Algorithms 17, no. 8 (2024): 366. http://dx.doi.org/10.3390/a17080366.

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The discrete cosine transform (DCT) is widely used for image and video compression. Lossy algorithms such as JPEG, WebP, BPG and many others are based on it. Multiple modifications of DCT have been developed to improve its performance. One of them is adaptive DCT (ADCT) designed to deal with heterogeneous image structure and it may be found, for example, in the HEVC video codec. Adaptivity means that the image is divided into an uneven grid of squares: smaller ones retain information about details better, while larger squares are efficient for homogeneous backgrounds. The practical use of adap

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Peng, Hong, Meiqing Wang, and Choi-Hong Lai. "Design of parallel algorithms for fractal video compression." International Journal of Computer Mathematics 84, no. 2 (2007): 193–202. http://dx.doi.org/10.1080/00207160601168456.

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Zanbouri, Ali Hossein, Yahia Hasan, and Fatameh Hossein. "Quality of Video Streaming: Taxonomy." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 22 (February 3, 2025): 215–33. https://doi.org/10.37394/23209.2025.22.19.

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Real-time and live video streaming are very important topics in networks nowadays, either wired or wireless, and so it is significant to address and study the behavior, advantages, and disadvantages of different techniques and algorithms. This article presents a comprehensive overview for researchers who are willing to conduct research in video compression standards, error correction algorithms for improving the quality of video streaming, forward error correction codes with feedback and forward error correction algorithms with unequal loss (or error) protection techniques for enhancing video

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Noor, Noor, and Qusay Abboodi Ali. "A New Method for Intelligent Multimedia Compression Based on Discrete Hartley Matrix." Fusion: Practice and Applications 16, no. 2 (2024): 108–17. http://dx.doi.org/10.54216/fpa.160207.

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Multimedia data (video, audio, images) require storage space and transmission bandwidth when sent through social media networking. Despite rapid advances in the capabilities of digital communication systems, the high data size and data transfer bandwidth continue to exceed the capabilities of available technology, especially among social media users. The recent growth of multimedia-based web applications such as WhatsApp, Telegram, and Messenger has created a need for more efficient ways to compress media data. This is because the transmission speed of networks for multimedia data is relativel

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Hu, Yongjian, Chang-Tsun Li, Yufei Wang, and Bei-bei Liu. "An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery." International Journal of Digital Crime and Forensics 4, no. 3 (2012): 20–32. http://dx.doi.org/10.4018/jdcf.2012070102.

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Frame duplication is a common way of digital video forgeries. State-of-the-art approaches of duplication detection usually suffer from heavy computational load. In this paper, the authors propose a new algorithm to detect duplicated frames based on video sub-sequence fingerprints. The fingerprints employed are extracted from the DCT coefficients of the temporally informative representative images (TIRIs) of the sub-sequences. Compared with other similar algorithms, this study focuses on improving fingerprints representing video sub-sequences and introducing a simple metric for the matching of

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Tang, Ning, Jin Cai, and Yuan Li. "An Enhanced Resolution Three-Dimensional Transformation Method Based on Discrete Wavelet Transform." Applied Mechanics and Materials 159 (March 2012): 41–45. http://dx.doi.org/10.4028/www.scientific.net/amm.159.41.

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With the development of interactive multimedia technologies, image and video compression algorithms necessitated a number of better performance and functionality. Wavelet transform based embedded image coding method is the basis of JPEG2000. Lossy image compression algorithms sacrifice perfect image reconstruction in favor of decreased storage requirements. JPEG2000 algorithm has been developed based on the discrete wavelet transform (DWT) techniques, which have shown how the results achieved in different areas in information technology can be applied to enhance the performance.

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Tang, Jun Fang. "Research on Information Applied Technology with Video Compression Algorithms Based on the Optimal Multi-Band Haar Wavelet Transform." Advanced Materials Research 886 (January 2014): 633–36. http://dx.doi.org/10.4028/www.scientific.net/amr.886.633.

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Video playback has been one of the most important online communication ways. With the application of stereo video, large amount of video data need to be stored and transported so that fluency and clarity of demand system, and how to efficiently conduct compressed encoding for stereoscopic video data becomes a hot topic currently. In view of this problem, this paper puts forward the video-on-demand compression algorithm based on the optimal multi-band Haar wavelet transform, through the research on wavelet transform algorithm model to reinforce the algorithm secondly, strengthening from the bin

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Silva, Giovane Gomes, Ícaro Gonçalves Siqueira, Mateus Grellert, and Claudio Machado Diniz. "Approximate Hardware Architecture for Interpolation Filter of Versatile Video Coding." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–8. http://dx.doi.org/10.29292/jics.v16i2.327.

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The new Versatile Video Coding (VVC) standard was recently developed to improve compression efficiency of previous video coding standards and to support new applications. This was achieved at the cost of an increase in the computational complexity of the encoder algorithms, which leads to the need to develop hardware accelerators and to apply approximate computing techniques to achieve the performance and power dissipation required for systems that encode video. This work proposes the implementation of an approximate hardware architecture for interpolation filters defined in the VVC standard t

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Suman, Srishty, Utkarsh Rastogi, and Rajat Tiwari. "Image Stitching Algorithms - A Review." Circulation in Computer Science 1, no. 2 (2016): 14–18. http://dx.doi.org/10.22632/ccs-2016-251-39.

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Image stitching is the process of combining two or more images of the same scene as a single larger image. Image stitching is needed in many applications like video stabilization, video summarization, video compression, panorama creation. The effectiveness of image stitching depends on the overlap removal, matching of the intensity of images, the techniques used for blending the image. In this paper, the various techniques devised earlier for the image stitching and their applications in the relative places has been reviewed.

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Lyanguzov, A. A., and A. V. Korobeynikov. "Video Compression Performance Evaluation Method in Transmission via a Low-Speed Channel." Vestnik IzhGTU imeni M.T. Kalashnikova 25, no. 3 (2022): 74–81. http://dx.doi.org/10.22213/2413-1172-2022-3-74-81.

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The paper presents an overview of the works devoted to video compression algorithms based on artificial intelligence methods. Two main directions for the development of such algorithms are identified - these are the development of modules for post-processing the results of the work of classical algorithms and the development of algorithms that completely replace existing video codecs. The problems of video compression algorithms performance evaluation criteria are considered. It was found that criteria based on the calculation of the standard deviation, such as PSNR, cannot be used to assess t

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U., R. Padma, and Jayachitra J. "SELF-EMBEDDING VIDEO WATERMARKING USING DUAL ORTHOGONAL COMPLEX CONTOURLET TRANSFORM WITH AUTOCORRELATION SYSTEM." International Journal of Research - GRANTHAALAYAH 3, no. 4 (2017): 89–98. https://doi.org/10.5281/zenodo.883606.

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This paper presents a novel non-blind watermarking algorithm using dual orthogonal complex contourlet transform. The dual orthogonal complex contourlet transform is preferred for watermarking because of its ability to capture the directional edges and contours superior to other transforms such as cosine transform, wavelet transform, etc. Digital image and video in their raw form require an enormous amount of storage capacity and the huge data systems also contain a lot of redundant information. Compression also increases the capacity of the communication channel. Image Compression using SPIHT

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Akimov, V. A. "Remote technologies in Education. Compression algorithms and data formats for transmission of text, sound and video information." Izvestiya MGTU MAMI 7, no. 4-2 (2013): 352–55. http://dx.doi.org/10.17816/2074-0530-68284.

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The article describes the features of the application of compression algorithms of information in multimedia learning technologies. There are given the examples of lossy compression algorithms and lossless compression and basic formats of compression of text, graphics and audiovisual information. The analysis of the effectiveness of various algorithms and recommendations for their use in different types of information are presented. The example of Huffman coding is given.

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ZHONG, JUNMEI, C. H. LEUNG, and Y. Y. TANG. "AN IMPROVED EMBEDDED ZEROTREE WAVELET IMAGE CODING METHOD BASED ON COEFFICIENT PARTITIONING USING MORPHOLOGICAL OPERATION." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (2000): 795–807. http://dx.doi.org/10.1142/s0218001400000490.

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In recent years, wavelets have attracted great attention in both still image compression and video coding, and several novel wavelet-based image compression algorithms have been developed so far, one of which is Shapiro's embedded zerotree wavelet (EZW) image compression algorithm. However, there are still some deficiencies in this algorithm. In this paper, after the analysis of the deficiency in EZW, a new algorithm based on quantized coefficient partitioning using morphological operation is proposed. Instead of encoding the coefficients in each subband line-by-line, regions in which most of

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Yang, Ming, Chih-Cheng Hung, and Edward Jung. "Secure Information Delivery through High Bitrate Data Embedding within Digital Video and its Application to Audio/Video Synchronization." International Journal of Information Security and Privacy 6, no. 4 (2012): 71–93. http://dx.doi.org/10.4018/jisp.2012100104.

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Secure communication has traditionally been ensured with data encryption, which has become easier to break than before due to the advancement of computing power. For this reason, information hiding techniques have emerged as an alternative to achieve secure communication. In this research, a novel information hiding methodology is proposed to deliver secure information with the transmission/broadcasting of digital video. Secure data will be embedded within the video frames through vector quantization. At the receiver end, the embedded information can be extracted without the presence of the or

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Kulkarni, Nishad P., Aditya A. Patil, and Dr M. A. Gangarde. "Time-Domain Video Watermarking Algorithm for Data Security and Content Authentication." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 7485–95. http://dx.doi.org/10.22214/ijraset.2023.53489.

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Abstract: Video watermarking is an essential method employed to invisibly and reliably incorporate information into digital videos. Its primary purposes include copyright protection, content authentication, and ownership verification. With the increasing prevalence of digital media and the ease of video sharing online, safeguarding intellectual property rights and ensuring video content integrity have become crucial. Video watermarking is an essential method employed to invisibly and reliably incorporate information into digital videos. Its primary purposes include copyright protection, conten

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Oujezdský, Aleš. "Optimizing Video Clips in Educational Materials." International Journal of Information and Communication Technologies in Education 1, no. 2 (2012): 68–79. http://dx.doi.org/10.1515/ijicte-2012-0006.

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Abstract The use of videos from digital camcorders has become a standard in education in recent years. The curriculum is easily accessible and appeals to a wider audience. The lessons use videos of various physical processes and chemical experiments. However there can be problems with this format. The video quality is often degraded in the final stage when the video is being prepared for placement in education. These include teaching materials in the form of web pages, elearning courses or flash multimedia objects. The final product of editing video from a digital camcorder is a DVD video. How

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Gonzalez Fernandez, Edgar, Ana Lucila Sandoval Orozco, and Luis Javier Garcia Villalba. "Digital Video Manipulation Detection Technique Based on Compression Algorithms." IEEE Transactions on Intelligent Transportation Systems 23, no. 3 (2022): 2596–605. http://dx.doi.org/10.1109/tits.2021.3132227.

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Cai, Xun, and Jae S. Lim. "Algorithms for Transform Selection in Multiple-Transform Video Compression." IEEE Transactions on Image Processing 22, no. 12 (2013): 5395–407. http://dx.doi.org/10.1109/tip.2013.2284073.

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