A hybrid M-channel filter bank and DCT framework for H.264/AVC intra coding
Multimedia Tools and Applications
Modeling 3D facial expressions using geometry videos
Proceedings of the international conference on Multimedia
A fast and low complexity approach for H.264/AVC intra mode decision
Multimedia Tools and Applications
Mode decision acceleration for scalable video coding through coded block pattern
Journal of Visual Communication and Image Representation
Fast intra prediction for high efficiency video coding
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
A hybrid fast mode decision method for H.264/AVC intra prediction
Multimedia Tools and Applications
Fine-grained CUDA-based Parallel Intra Prediction for H.264/AVC
Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
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This study presents an intensity gradient approach for intra-prediction in H.264 encoding system, which enhances the performance and efficiency of previous fast algorithms. We propose a preprocessing stage in which eight orientation features are extracted from a macro block by the intensity gradient filters. The orientation features are utilized to select a subset of prediction modes to be involved in the rate-distortion calculation so that the encoding time can be reduced. The simulation results indicate that the intensity gradient based algorithm for intra-prediction contributes better tradeoff between rate-distorion performance and encoding complexity than the previous algorithms. Compared to H.264 reference software, the proposed algorithm introduces slight PSNR degradation and bit rate increase but saves around 76% of the total encoding time with all intra-frame coding.