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In High Efficiency Video Coding (HEVC), optimal coding unit (CU) size is decided based on recursive rate-distortion cost comparison, which consumes high computational resources. In this paper, an effective HEVC intra CU size decision algorithm is proposed to speed up the encoding process. The algorithm is based on progressive Bayesian classification, which is composed of two cascade classifiers: a...
HEVC achieves much higher coding efficiency compared with previous coding standards at cost of significant computation complexity. In this paper, an improved Bayesian classification framework is constructed to accelerate the coding unit size decision for HEVC intra coding. Under this framework, different decision mechanisms are applied for different regions of feature space. Specifically, the feature...
Visualizing video is a very time consuming task. Video summaries are compact representations and very useful in video management systems. However, in some applications, in which the summary must be generated on demand, it usually implies a high delay for the user. Video summarization is a very demanding task in terms of processing resources, and it is very difficult to obtain a summary of a large...
This paper proposes a new approach for shot boundary detection using information saliency. Both temporal and spatial saliency are considered to generate an information saliency map (ISM). The shot detection (both abrupt changes and gradual transitions) is then based on the change of saliency, Six publicly available video databases are used for evaluation and the results are encouraging. The overall...
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