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Video shot boundary detection (SBD) is the first and essential step for content-based video management and structural analysis. Great efforts have been paid to develop SBD algorithms for years. However, the high computational cost in the SBD becomes a block for further applications such as video indexing, browsing, retrieval, and representation. Motivated by the requirement of the real-time interactive...
This paper proposes a novel kind of graph-based features for image retrieval. For each color image, we divide it into R, G, B component images. For each component image, we view the 256 gray-levels as nodes and construct the Gray-level Co-occurrence Graph (GCG) by counting the number of occurrences for each possible gray-level pair as neighbors in the image. Based on the generated three directed weighted...
In content-based image retrieval systems, the invariance to geometrical transformations is one of the most desired properties. In this paper, a kind of rotation, scaling and translation (RST) invariant feature for image retrieval is investigated, and a new method is proposed to extract this type of feature. The proposed scheme first detects the scale invariant key points in images, and then utilizes...
This paper presents a novel dissolve detection method based on accumulating histogram difference (AHD) and support points. The proposed algorithm can detect fades and dissolves and avoid the false detection caused by the flashlight. In terms of recall, precision, computational complexity per frame and computational complexity per pixel, we compare our method with the Twin algorithm and the Two Measures...
Video abstraction is an indispensable component in various applications, such as indexing, browsing and retrieval. In this paper, we present a new video abstraction algorithm based on visual attention model and on-line clustering. Representative frames are first selected on shot level. The attention regions in representative frames are detected via attention model. Finally, the visual features of...
A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in...
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