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In this paper, a new method for content-based video copy detection is presented. This method includes fingerprint extracting and matching phases. In the fingerprint extracting phase, a video is represented by a set of Speeded Up Robust Features (SURF), which outperforms other local features. In the fingerprint matching phase, the Locality Sensitive Hashing (LSH) is applied to efficiently detect video...
In this paper, we propose a new compressed video copy detection approach, which is based on edge analysis without decompression. We use AC coefficients of DCT domain to obtain edge information in video frames, then measure the similarity of videos through edge information. The experimental results demonstrate that the proposed approach outperforms the previous approaches in accuracy and efficiency.
This paper presents a new copy detection method for compressed videos, based on texture information in the compressed domains. We firstly obtain texture information from discrete cosine transform (DCT) alternating current (AC) coefficients of I-frames, then extract video signatures from the texture information, and finally measure the similarity of videos by the video signatures. The experimental...
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