A Scalable Block Compensation With Index Selection Mechanism to Achieve High Video Quality Retrieval
Video quality retrieval is an important issue in reconstruction video sequences. The amounts of transmission bitstreams are very large to achieve high video quality reconstruction. Thus, high video quality retrieval is still a challenge problem. The aim of this paper is to reduce the transmission bitstreams and raise reconstruction video quality. In this paper, the authors propose a scalable block compensation with index selection mechanism using eigenvalue and local variance statistics for each Group Of Pictures (GOP), which are regarded as the feature parameters for compensating motion blocks for each video frame from low-resolution to high-resolution sequences at the receiver ends.