Improvement of Inter-Layer Motion Prediction in Scalable Video Coding
IEICE - Transactions on Information and Systems
Advances in the scalable amendment of H.264/AVC
IEEE Communications Magazine
A new diamond search algorithm for fast block-matching motion estimation
IEEE Transactions on Image Processing
A new predictive search area approach for fast block motion estimation
IEEE Transactions on Image Processing
Spatial Scalability Within the H.264/AVC Scalable Video Coding Extension
IEEE Transactions on Circuits and Systems for Video Technology
Real-Time System for Adaptive Video Streaming Based on SVC
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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In October 2007 ITU-T and MPEG organizations published the Scalable Video Coding (SVC) specification as an addendum to the H.264 standard. Basically SVC enables H.264 video encoders to support temporal, spatial and SNR scalability. This new functionalities lead to more flexibility on bandwidth management and robustness against packet losses. It is therefore more suitable for heterogeneous multimedia applications like IPTV and mobile networks. However implementations of SVC specification are still limited due the augmented computational complexity. One of the most critical SVC algorithms is the motion estimation module, which allows identification of extra intra and inter-layer redundancies. The great computation demand of this module is responsible for the large SVC encoder latency time, restraining its use in real-time applications. We propose in this paper a new motion estimation approach specially designed to reduce memory accesses and data comparisons in order to increase performance. Experimental results prove significant gains in speed (up to 6 times faster) with small effects on quality (less than 0.2 dB).