In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information. Typically, a device that performs data compression is referred to as an encoder, and one that performs the reversal of the process (decompression) as a decoder.
Digital video is an electronic representation of moving visual images (video) in the form of encoded digital data. This is in contrast to analog video, which represents moving visual images in the form of analog signals. Digital video comprises a series of digital images displayed in rapid succession, usually at 24, 30, or 60 frames per second. Digital video has many advantages such as easy copying, multicasting, sharing and storage.
Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates.
Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
A video codec is software or hardware that compresses and decompresses digital video. In the context of video compression, codec is a portmanteau of encoder and decoder, while a device that only compresses is typically called an encoder, and one that only decompresses is a decoder.
JPEG 2000 (JP2) is an image compression standard and coding system. It was developed from 1997 to 2000 by a Joint Photographic Experts Group committee chaired by Touradj Ebrahimi, with the intention of superseding their original JPEG standard, which is based on a discrete cosine transform (DCT), with a newly designed, wavelet-based method. The standardized filename extension is .jp2 for ISO/IEC 15444-1 conforming files and .jpx for the extended part-2 specifications, published as ISO/IEC 15444-2. The registered MIME types are defined in RFC 3745. For ISO/IEC 15444-1 it is image/jp2.
ICER is a wavelet-based image compression file format used by the NASA Mars rovers. ICER has both lossy and lossless compression modes.
Charles Eric Leiserson is a computer scientist and professor at Massachusetts Institute of Technology (M.I.T.). He specializes in the theory of parallel computing and distributed computing.
Abraham Lempel was an Israeli computer scientist and one of the fathers of the LZ family of lossless data compression algorithms.
Richard "Dick" Francis Lyon is an American inventor, scientist, and engineer. He is one of the two people who independently invented the first optical mouse devices in 1980. He has worked in signal processing and was a co-founder of Foveon, Inc., a digital camera and image sensor company.
Mark A. Horowitz is an American electrical engineer, computer scientist, inventor, and entrepreneur who is the Yahoo! Founders Professor in the School of Engineering and the Fortinet Founders Chair of the Department of Electrical Engineering at Stanford University. He holds a joint appointment in the Electrical Engineering and Computer Science departments and previously served as the Chair of the Electrical Engineering department from 2008 to 2012. He is a co-founder, the former chairman, and the former chief scientist of Rambus Inc.. Horowitz has authored over 700 published conference and research papers and is among the most highly-cited computer architects of all time. He is a prolific inventor and holds 374 patents as of 2023.
Context-adaptive binary arithmetic coding (CABAC) is a form of entropy encoding used in the H.264/MPEG-4 AVC and High Efficiency Video Coding (HEVC) standards. It is a lossless compression technique, although the video coding standards in which it is used are typically for lossy compression applications. CABAC is notable for providing much better compression than most other entropy encoding algorithms used in video encoding, and it is one of the key elements that provides the H.264/AVC encoding scheme with better compression capability than its predecessors.
Wai-Chi Fang is a Taiwanese engineer.
Anil K. Jain was an Indian-American electrical engineer and Professor of the Department of Electrical Engineering and Computer Science at the University of California, Davis, known for his contributions on "two-dimensional stochastic models for images provided a firm theoretical foundation for a number of algorithms of spectral analysis, adaptive image estimation and image data compression", including work on transform coding for image compression and block-based motion compensation for video compression in particular.
A video coding format is a content representation format of digital video content, such as in a data file or bitstream. It typically uses a standardized video compression algorithm, most commonly based on discrete cosine transform (DCT) coding and motion compensation. A specific software, firmware, or hardware implementation capable of compression or decompression in a specific video coding format is called a video codec.
Ilan Sadeh is an Israeli IT theoretician, entrepreneur, and human rights activist. He holds the position of Associate Professor of Computer Sciences and Mathematics at the University for Information Science and Technology "St. Paul The Apostle" in Ohrid, North Macedonia.
Saraju Mohanty is an Indian-American professor of the Department of Computer Science and Engineering, and the director of the Smart Electronic Systems Laboratory, at the University of North Texas in Denton, Texas. Mohanty received a Glorious India Award – Rich and Famous NRIs of America in 2017 for his contributions to the discipline. Mohanty is a researcher in the areas of "smart electronics for smart cities/villages", "smart healthcare", "application-Specific things for efficient edge computing", and "methodologies for digital and mixed-signal hardware". He has made significant research contributions to security by design (SbD) for electronic systems, hardware-assisted security (HAS) and protection, high-level synthesis of digital signal processing (DSP) hardware, and mixed-signal integrated circuit computer-aided design and electronic design automation. Mohanty has been the editor-in-chief (EiC) of the IEEE Consumer Electronics Magazine during 2016-2021. He has held the Chair of the IEEE Computer Society's Technical Committee on Very Large Scale Integration during 2014-2018. He holds 4 US patents in the areas of his research, and has published 500 research articles and 5 books. He is ranked among top 2% faculty around the world in Computer Science and Engineering discipline as per the standardized citation metric adopted by the Public Library of Science Biology journal.
Subhasis Chaudhuri is an Indian electrical engineer and former director at the Indian Institute of Technology, Bombay. He is a former K. N. Bajaj Chair Professor of the Department of Electrical Engineering of IIT Bombay. He is known for his pioneering studies on computer vision and is an elected fellow of all the three major Indian science academies viz. the National Academy of Sciences, India, Indian Academy of Sciences, and Indian National Science Academy. He is also a fellow of Institute of Electrical and Electronics Engineers, and the Indian National Academy of Engineering. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards, in 2004 for his contributions to Engineering Sciences.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
Orly Yadid-Pecht is a Professor of Electrical and Software Engineering and Alberta Innovates Technology Futures Strategic Chair of Integrated Intelligent Sensors at the University of Calgary. She develops CMOS based imaging devices for biomedical sensing. She is a Fellow of the Institute of Electrical and Electronics Engineers, SPIE and American Institute for Medical and Biological Engineering. She is an ASTech Award Winner for Technology. Yadid-Pecht holds several patents for new technologies, including sensors, health monitoring devices and drug delivery systems.
