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Interactive graph cuts are widely used in object seg-mentation but with some disadvantages: 1) Manual interactions may cause inaccurate or even incorrect seg-mentation results and involve more interactions especially for novices. 2) In some situations, the manual interactions are infeasible. To overcome these disadvantages , we propose a novel approach,(More)
Most broadcast stations rely on TV logos to claim video content ownership or visually distinguish the broadcast from the interrupting commercial block. Detecting and tracking a TV logo is of interest to TV commercial skipping applications and logo-based broadcasting surveillance (abnormal signal is accompanied by logo absence). Pixel-wise difference(More)
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is mod-eled by a mixture model, and then with the techniques of factor analyzer, the underlying structure of image content is inferred automatically. Different from the traditional EM algorithm that seriously suffers from component number selection, the proposed(More)