Baisakhi Sur Phadikar

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Modern technology made storing, sharing, organizing huge amounts of data simple through the Internet of things. Search engines and query-based retrieval databases made access to relevant data easy through ranking and indexing based on content stored. This paper presents a content-based image retrieval technique using image quality assessment (IQA) model.(More)
In this paper, we propose a content-based image retrieval scheme in discrete cosine transform compressed domain with the help of genetic algorithm (GA). A combination of three image features, i.e., color histogram, color moments, and edge histogram, is extracted directly from the compressed domain and is used for similarity matching using the Euclidian(More)
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