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This paper proposes an adaptive solution of temporal scalable decoding process with frame rate conversion method for surveillance video. It realizes the adaptive skipping scheme in the temporal scalable decoding process based on the content of the pictures. By analyzing the relationship between motion vector energy and the video quality loss of the same frame in probability, chooses the suitable form...
As a state-of-the-art video compression technique, H.264/AVC has been deployed in many surveillance cameras to improve the compression efficiency. However, it induces very high coding complexity, and thus high power consumption. In this paper, an early skip mode decision algorithm is proposed to reduce the computational complexity and power consumption in surveillance video compression by detecting...
Because of the outstanding contribution in removing pixel correlation, block-based transform and quantization has been widely accepted in the state-of-art image/video coding standards. However, artifacts are introduced, which result in reducing the subjective quality of the decoded image/video. In this paper, a composite model of the optical flow velocity is mathematically derived and proved to further...
The block-based prediction, transform and quantization reduce the redundancy in video data efficiently. However, the blocking artifacts are introduced because of quantization error and prediction scheme. Even if the de-blocking filter is applied like that designed in H.264 and AVS, the blocking artifacts are still visible especially in videos with smooth area coded at low bit-rate. In this paper,...
This paper presents a high efficiency method to decide the inter mode of the H.264/AVC encoder. Although rate-distortion optimization (RDO) improving the video quality in video compression largely, its high computational complexity brings huge time cost. The key idea of this paper is to reduce the candidate modes by the underlying relation between motions and macro block partition types. Thus, a motion...
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