Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding

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

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Fernando Pereira, João Ascenso
• Keywords: Hash Motion Estimation, Hash-based Motion Estimation, ICIP 2007, Image Processing, Source Coding Paradigm, Time Consuming Motion, Trajectory-based Motion Interpolation