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During the depth image based rendering (DIBR), depth map is a new type of video sequence to be compressed. The synthesized result of DIBR is highly related to the quality of the depth map. Depth map also has some new features than color maps. It occurs to us that some improvement is required. Higher efficiency and keeping the edge quality is two critical issues for depth compression. In this paper,...
In this paper, a workload estimation scheme is proposed for surveillance video encoding by using difference detection and Hilbert transform-based workload estimation model. Difference detection distributes the input video data according to their content similarity features and retrieves the encoding workload for the coded frames. Workload estimation model predicts the encoding workload for the following...
In high definition video decoders for the standard like H.264, bandwidth requirement is a critical design issue due to the overwhelming amount of memory data access. This paper proposes a new adaptive reference frame compression scheme to reduce external memory bandwidth consumption. An efficient variable length coding is proposed to compress each processing unit efficiently. Moreover, an adaptive...
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...
Video surveillance has been widely applied in broad area to improve the public safety and to protect the residential privacy. Because of the requirements in storing the video data over a period of time for future use and because of the huge size of the raw video data, video compression technique has been integrated into the video camera of the surveillance system. As a state-of-the-art video compression...
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...
It is a challenging issue to analyze video content for video mining tasks due to lacking of effective representation of video. In this paper, we propose a novel key frame representation algorithm based on rough sets (RS) in discrete cosine transform (DCT) compressed-domain. Firstly, we extract DCT coefficients in compressed-domain, select and preprocess the DC coefficients that derived from DCT coefficients...
In this paper, we propose an adaptive binarization scheme for arithmetic coding in video compression. This scheme is applied to encode the number of nonzero coefficients in transform blocks. Based on the observation that the numbers of nonzero coefficients in neighboring blocks are highly correlated, the number of nonzero coefficients of a block is specifically binarized according to the numbers of...
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