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Anne Aaron
Researcher at Netflix
Publications - 48
Citations - 5268
Anne Aaron is an academic researcher from Netflix. The author has contributed to research in topics: Distributed source coding & Video quality. The author has an hindex of 26, co-authored 48 publications receiving 4933 citations. Previous affiliations of Anne Aaron include Stanford University.
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Journal ArticleDOI
Distributed Video Coding
TL;DR: The recent development of practical distributed video coding schemes is reviewed, finding that the rate-distortion performance is superior to conventional intraframe coding, but there is still a gap relative to conventional motion-compensated interframe coding.
Proceedings ArticleDOI
Wyner-Ziv coding of motion video
Anne Aaron,Rui Zhang,Bernd Girod +2 more
TL;DR: This work reports the first results on a Wyner-Ziv coding scheme for motion video that uses intraframe encoding, but interframe decoding, and suggests that an asymmetric video codec could achieve similar efficiency.
Proceedings ArticleDOI
Transform-domain Wyner-Ziv codec for video
TL;DR: This work proposes a transformdomain Wyner-Ziv coding scheme for motion video that uses intraframe encoding, but interframe decoding, and shows significant gains above DCT-based intraframe coding and improvements over the pixel-domain Wynev video coder.
Proceedings ArticleDOI
Compression with side information using turbo codes
Anne Aaron,Bernd Girod +1 more
TL;DR: It is shown that turbo codes can come close to the Slepian-Wolf bound in lossless distributed source coding in asymmetric scenario considered and the scheme also performs well for joint source-channel coding.
Journal ArticleDOI
Rate-adaptive codes for distributed source coding
TL;DR: Two classes of rate-adaptive distributed source codes, both based on low-density parity-check (LDPC) codes, are developed and their design is studied, showing specific realizations to be better than alternatives of linear encoding and decoding complexity.