Improved Advanced Motion Vector Prediction Scheme for Surveillance Video Coding
نویسندگان
چکیده
Background frame based video coding achieves a remarkable compress performance for surveillance video coding. In this paper, an improved Advanced Motion Vector Prediction (AMVP) scheme for surveillance video coding is proposed to make Motion Vector Prediction (MVP) more accurate when prediction unit (PU) references background (BG)-frame. Considering the correlations among the spatial PUs, the proposed method utilizes the Motion Vectors (MV) of spatial PUs which reference BG-frame to recalculate MVP, and reconstruct the MVP candidate list when current PU references BG-frame. Results show that our scheme averagely achieves 0.17% bit-rate saved compared to HM12.0-S.
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