End-to-End Learnable Multi-Scale Feature Compression for VCM

The proliferation of deep learning-based machine vision applications has given rise to a new type of compression, so called video coding for machine (VCM). VCM differs from traditional video coding in that it is optimized for machine vision performance instead of human visual quality. In the feature...

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Vydáno v:	IEEE transactions on circuits and systems for video technology Ročník 34; číslo 5; s. 3156 - 3167
Hlavní autoři:	Kim, Yeongwoong, Jeong, Hyewon, Yu, Janghyun, Kim, Younhee, Lee, Jooyoung, Jeong, Se Yoon, Kim, Hui Yong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Coders Coding Decoding Encoding feature compression Feature extraction Image coding Image compression Image reconstruction learned image compression Lightweight Machine vision MPEG encoders Object recognition Redundancy Task analysis Transform coding versatile video coding (VVC) Video coding for machine (VCM) Video compression Vision systems Weight reduction
ISSN:	1051-8215, 1558-2205
On-line přístup:	Získat plný text
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