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Application-Specific Instruction Set Processors for Video Processing
Published in Ling Guan, Yifeng He, Sun-Yuan Kung, Multimedia Image and Video Processing, 2012
Sung Dae Kim, Myung Hoon Sunwoo
With rapid progress in semiconductor technology, it is becoming feasible to have high-quality multimedia services using smart hand-held devices. Today, multimedia electronics like smart phones, smart pads, digital cameras, camcorders, smart TVs, and so on have become highly popular. Anyone can easily use these various multimedia equipments and can generate new creative multimedia contents by using them. Multimedia technologies have been developed with new applications. Various multimedia codecs have been standardized as MPEG-2, MPEG-4, H.261, H.263, H.264/AVC [1], high-performance video coding (HVC) [2], and so on. The purpose of multimedia codecs is to fulfill the requirements of various applications by improving the picture quality, increasing the coding efficiency, and obtaining more error robustness.
Video encoding
Published in David Austerberry, The Technology of Video and Audio Streaming, 2013
Codec is short for compression/decompression. Codecs are software programs that employ a mathematical algorithm to squeeze the media files into a more compact streaming format. Decompression then takes place in a compatible decoder, or media player, installed in the end-user’s computer. The process can be likened to zipping and unzipping a file on a PC.
Playback, Records, and Media Servers … Oh My
Published in Tim Kuschel, The Live Event Video Technician, 2023
The bandwidth and amount of data storage required for video clips is based on the codec that is used. Some are optimized for low bandwidth transfer and others are designed for larger uncompressed formats. Usage is based on the quality expected and delivery method of the final product. Codecs are constantly in a state of give and take between bandwidth, quality, and file size.
Medical image fusion based on multi-scale decomposition using hybrid deep learning network model
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Syed Munawwar, P. V. Gopi Krishna Rao
Peak Signal-to-Noise Ratio (PSNR): Using the PSNR, the lossy image compression codec’s reconstruction performance is typically assessed. In this instance, the signal represents the data, and the noise reflects the compression fault. It is a standard indicator of perceived reconstruction quality for assessing compression codecs. Because of this, a reconstruction may seem more accurate than another even though it has a lower PSNR (the quality of the reconstruction would typically be indicated by a greater PSNR)