Fast scene change detection using direct feature extraction fromMPEG compressed videos
IEEE Transactions on Multimedia
A compressed domain scheme for classifying block edge patterns
IEEE Transactions on Image Processing
Automatic segmentation of moving objects for video object plane generation
IEEE Transactions on Circuits and Systems for Video Technology
A block-based MAP segmentation for image compressions
IEEE Transactions on Circuits and Systems for Video Technology
A Fast Hybrid Decision Algorithm for H.264/AVC Intra Prediction Based on Entropy Theory
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
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Advanced multimedia applications will have to provide the user with the flexibility to rapidly access and manipulate the multimedia data. In order to achieve this goal, especially in limited computing environments, such as mobile-phone, the computational cost of extracting the visual features for image segmentation must be greatly reduced. In this paper, we investigate difference properties from three coefficients in the non-normalised Haar transform (NHT) domain and present a fast and efficient method to classify block edge using these properties. The proposed method significantly reduces the number of computational operations in the edge models determination with no multiplications and less addition operations. The experimental results are presented to show the effectiveness of the proposed method.