Basic Video Compression Techniques

Autor:	Mark S. Drew, Ze-Nian Li, Jiangchuan Liu
Rok vydání:	2021
Předmět:	Motion compensation business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video processing Frame rate Motion vector Video compression picture types Uncompressed video Motion estimation Computer vision Artificial intelligence business Data compression
Zdroj:	Texts in Computer Science ISBN: 9783030621230 Texts in Computer Science ISBN: 9783319052892
DOI:	10.1007/978-3-030-62124-7_10
Popis:	A video can be viewed as a sequence of images stacked in the temporal dimension. Since the frame rate of the video is often relatively high, the contents of consecutive frames are usually similar. In other words, video has temporal redundancy. All digital video compression algorithms (including H.264 and H.265) adopt the so-called motion compensation based video compression technique to exploit temporal redundancy. In this chapter the fundamentals of motion compensation based video compression are introduced. We cover sufficient details of H.261, followed by a brief discussion on H.263. These form the foundation for all modern video compression standards.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e12642a4dab5d741402078208112c29 https://doi.org/10.1007/978-3-030-62124-7_10 Zobrazit plný text záznamu