1,721,141 research outputs found
Spatial Prediction in the H.264/AVC FRExt Coder and its OptimizationSignal Processing
No full textThe chapter presents a review of the fast spatial prediction strategy that were designed for the Intra coding mode of the video coding standard H.264/AVC. At the end, the author presents an effective strategy based on belief propagation message passing
From Cross-Layer Optimization to Cognitive Source Coding for Multimedia Transmission: Adapting Content Formats to the Network
No full textA Belief-Propagation Based Fast Intra Coding Algorithm for the H.264/AVC FRExt coder
Full text linkPublication in the conference proceedings of EUSIPCO, Lausanne, Switzerland, 200
Three-dimensional reconstruction from heterogeneous video devices with camera-in-view information
No full text
Fast H.264/AVC FRExt Intra Coding Using Belief Propagation
No full textIn the H.264/AVC FRExt coder, the coding performance of Intra coding significantly overcomes the previous still image coding standards, like JPEG2000, thanks to a massive use of spatial prediction. Unfortunately, the adoption of an extensive set of predictors induces a significant increase of the computational complexity required by the rate-distortion optimization routine. The paper presents a complexity reduction strategy that aims at reducing the computational load of the Intra coding with a small loss in the compression performance. The proposed algorithm relies on selecting a reduced set of prediction modes according to their probabilities, which are estimated adopting a belief-propagation procedure. Experimental results show that the proposed method permits saving up to 60 % of the coding time required by an exhaustive rate-distortion optimization method with a negligible loss in performance. Moreover, it permits an accurate control of the computational complexity unlike other methods where the computational complexity depends upon the coded sequence
Distributed video coding based on lossy syndromes generated in hybrid pixel/transform domain
No full text- …
