22 March 1996 Adaptive reference frame selection for generalized video signal coding
Author Affiliations +
In this paper, we present a new algorithm that adaptively selects the best possible reference frame for the predictive coding of generalized, or multi-view, video signals, based on estimated prediction similarity with the desired frame. We define similarity between two frames as the absence of occlusion, and we estimate this quantity from the variance of composite displacement vector maps. The composite maps are obtained without requiring the computationally intensive process of motion estimation for each candidate reference frame. We provide prediction and compression performance results for generalized video signals using both this scheme and schemes where the reference frames were heuristically pre- selected. When the predicted frames were used in a modified MPEG encoder simulation, the signal compressed using the adaptively selected reference frames required, on average, more than 10% fewer bits to encode than the non-adaptive techniques; for individual frames, the reduction in bits was sometimes more than 80%. These gains were obtained with an acceptable computational increase and an inconsequential bit-count overhead.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey S. McVeigh, Jeffrey S. McVeigh, Mel Siegel, Mel Siegel, Angel G. Jordan, Angel G. Jordan, } "Adaptive reference frame selection for generalized video signal coding", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); doi: 10.1117/12.235439; https://doi.org/10.1117/12.235439


Influence of camera and in scene motion on perceived video...
Proceedings of SPIE (February 13 2008)
Design Of A Freeze-Frame Coder
Proceedings of SPIE (June 02 1987)
Research of motion estimation algorithm based on H.264
Proceedings of SPIE (July 08 2011)
An enhancement of H.264 coding mode for R D optimization...
Proceedings of SPIE (January 18 2010)
DSP-based hardware for real-time video coding
Proceedings of SPIE (April 29 1992)

Back to Top