Compressed Domain Image Retrieval Based on Modified CVQ
نویسندگان
چکیده
This paper proposes a novel colour independent Content Based Image Retrieval scheme. Important image information is extracted from visually important areas of image such as edges. Global image features are extracted from the relation among the detailed image information. These two groups of information generate the feature vector. The novel algorithm presented here is a two pass algorithm. First, similar images are retrieved based on the detail information then the global feature is employed to retrieve similar images from the set of images found from the first step. This scheme is compared with three other schemes, the colour histogram, Vector Quantization and Classified Vector Quantization, under the same conditions. The novel scheme presented outperforms the other three schemes in terms of recall rate and precision
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تاریخ انتشار 2007