Paper Info
Title
Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding
Abstract
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy version of the original frame and is generated at the decoder with time consuming motion estimation and compensation tools. This paper proposes a novel bidirectional hash motion estimation framework which enables the decoder to choose between past and/or future reference frames for frame interpolation. New features include the coding of DCT hash with zero-motion, combination of trajectory-based motion interpolation with hash-based motion estimation and adaptive selection of the DCT bands which are sent to the decoder in order to guide the motion estimation procedure. Gains up to 1.2 dB compared to previous motion interpolation approaches may be reached.
Year
DOI
Venue
2007
10.1109/ICIP.2007.4379238
Image Processing, 2007. ICIP 2007. IEEE International Conference
Keywords
Field
DocType
cryptography,decoding,discrete cosine transforms,interpolation,motion compensation,motion estimation,source coding,statistical analysis,video coding,DCT hash coding,Wyner-Ziv video coding,adaptive DCT band selection,adaptive hash-based side information exploitation,bidirectional hash motion estimation framework,decoder,lossy source coding paradigm,motion compensation tools,trajectory-based motion interpolation,video statistics,Wyner-Ziv video coding,hash-based motion estimation
Reference frame,Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Artificial intelligence,Hash function,Motion interpolation,Soft-decision decoder,Motion estimation
Conference
Volume
ISSN
ISBN
3
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
Citations 
PageRank 
References 
32
1.45
3
Authors
2
Name
Order
Citations
PageRank
João Ascenso174894.30
Fernando Pereira2177172124.79