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Fundamentals of Digital Video Coding
Published in Yun-Qing Shi, Huifang Sun, Image and Video Compression for Multimedia Engineering, 2019
AOMedia Video 1 (AV1): the target of AV1 video codec is to provide an open, royalty-free video coding format designed for video transmissions over the Internet. The AV1 codec is developed by the organization of AOMedia, a consortium of firms from the semiconductor industry, video on demand providers, and web browser developers AOMedia was founded in 2015.
A new low-complexity approximate DCT for image and video compression
Published in Journal of the Chinese Institute of Engineers, 2020
Hsin-Kun Lin, Chi-Chia Sun, Ming-Hwa Sheu, Mladen Berecovic
Recently, there have been several categorical findings on the development of H.264 source coding. It can be concluded that H.264 has matured progressively in the past few years. For example, H.264 is the only codec that can reach 98% of the installed base of computers. Moreover, the predominant codec can be used in iTunes so that it can be played on all major brands of mobile devices. Due to that, both YouTube and Vimeo have supported H.264 via the HTML5 tag since early 2010. By late 2010, multiple networks, including CBS, CNN, PBS, TNT, ABC, and the BBC, were distributing videos over the internet using H.264. As of 2016, the most common video coding format used in Netflix is the discrete cosine transform (DCT) based Advanced Video Coding (AVC), also known as the H.264 format, as it is the most widely supported format in web browsers, televisions, mobile devices, and other consumer devices. Later, new generation video/image compression standard H.265 with ultrahigh-definition resolutions (4 K–2 K) required the coding standard to send higher-quality video data in a limited bandwidth. The major difference between H.264 and H.265 is that the transform coding in H.265 is divided into coding unit (CU), prediction unit (PU), and transform unit (TU), and the types of transform blocks (TB) are increased to five different TBs: Fast DST; 44 DCT, 88 DCT, 1616 DCT, and 3232 DCT (Kim et al. 2012; Helle et al. 2012). Therefore, a new transform with a size-configurable function for supporting multiblock sizes and cost-efficient features is an important topic for H.265. Based on that, many fast DCT algorithms have been proposed for improving compression procedures. In order to reduce computational complexity within a simple architecture for computational architecture design, we have surveyed some works that used the basic elements of 0, +1, −1 (Cintra and Bayer 2011; Potluri et al. 2014; Bouguezel, Ahmad, and Swamy 2013, 2011; Bayer and Cintra 2012; Cintra et al. 2014).