Fast prediction algorithm of adaptive GOP structure for SVC Adaptive groupofpicture (GOP) structure is an important encoding tool in multilevel motioncompensated temporal filtering coding scheme. Compared to conventional fixedGOP scheme, it can dynamically adapt the GOP size to enhance the coding performance based on each sequenceu0027s characteristics. But the existing adaptive GOP structure (AGS) algorithm proposed in JSVM requires huge computation complexity. In this paper, a fast AGS prediction algorithm is proposed. At first, based on the relationship among coding performance, GOP size and corresponding intra block ratio, a subGOP size prediction model for different decomposition levels is developed based on the encoded intra block ratio. Then, a prediction scheme is proposed to implement AGS by the subGOP size prediction model. It can predict the following subGOP size by current subGOPu0027s information instead of searching all possible subGOP composition. The experimental results show that the proposed algorithm with linear threshold has almost equivalent coding performance as AGS in JSVM but only onefourth computation complexity for 4level interframe coding scheme is required.

Dynamic GOP structure for scalable video coding MPEG is currently developing a new scalable video coding (SVC) standard which should provide compression efficiency similar to current nonscalable video coding standard. The extension of H.264AVC hybrid video coding using motioncompensated temporal filtering (MCTF) is a current solution. This paper presents a dynamic group of picture (GOP) structure to improve the quality of the SVC coded video by using variable GOP sizes along the video sequences without the restriction of the fixed GOP size or the limited adaptive GOP size. The dynamic GOP structure keeps temporal importance information of frames in the encoded video, which helps in coding efficiency and provides better user perception. An effective GOP size determination method is also proposed in this paper. The proposed scheme has been validated by experimental results.