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    ABSTRACT: 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 as index of the inverted file. The voting strategy makes use of the property of temporal consistence. The experimental results indicate that these visual features are robust and the searching in database is feasible.
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on; 12/2009
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    ABSTRACT: 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 results indicate that the average search time of one query clip from a 24-hour TV stream is about 1 second, and the mean recall for 9 channels exceeds 98% while 100% precision is achieved. The evaluation results of copy detection task at TRECVID show the robustness and effectiveness.
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    ABSTRACT: The automatic recording function of DVR is a powerful tool for users. However, increase of the stored content makes it difficult to access desired content. To solve this issue, this paper proposes a new method of providing suitable thumbnails of TV programs by detecting important objects from them. Our approach is based on identifying typical shooting and editing techniques, which are estimated from camera motion and visual features density. The proposed method is independent of types of target object and it achieves detection accuracy of about 79%, which outperforms the existing object-dependent approaches. The method is applied to the prototype application on the DVR. It enables the user to find desired content intuitively and access important scenes easily.
    IEEE Transactions on Consumer Electronics 06/2010; 56(2-56):888 - 894. DOI:10.1109/TCE.2010.5506016 · 1.05 Impact Factor
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