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Relevance feedback (RF) is an effective method for content-based image retrieval (CBIR), and it is also a feasible step to shorten the semantic gap between low-level visual feature and high-level perception. In this paper, a SVM-based RF algorithm is proposed to improve performance of image retrieval. In classifier training, a sample expanding scheme is adopted to balance the proportion of positive...
Searching of video clip from TV streams has significant commercial values, for example, the application of advertisement tracking in different TV channels. In this paper, a segment-based advertisement searching method is proposed. Robust visual features are first extracted to overcome some video transformations, and then two search strategies are presented for long AD clips and short ones. The experimental...
Content-based video copy detection aims at deciding whether there is a common segment between the query video and the video in the database. In this paper, a copy detection system is proposed based on local features that can deal with most video transformations and realize video searching in the database by using inverted file. Local features are first extracted and then clustered to visual words...
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