Hybrid Classifier based Content based Image Retrieval
نویسندگان
چکیده
منابع مشابه
Content-based Image Retrieval Content-based Image Retrieval
Sensing and processing multimedia information is one of the basic traits of human beings: The audiovisual system registers and transports surrounding images and sounds. This complex re-cording system, complemented by the senses of touch, taste, and smell, enables perception and provides humans with data for analysing and interpreting the environment. Imitating this perception and the simulation...
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Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
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More and more images are used in HTML documents on the WWW. Ideally, a tool should be available, i. e. an image search engine, that can retrieve relevant images quickly on demand. Effectively, digital image databases have seen an enormous growth over the last years. Since many image collections are purely indexed or annotated, there is a great need for automated, content-based methods that coul...
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The aim of this report is to review the current state of the art in content-based image retrieval (CBIR), a technique for retrieving images on the basis of automatically-derived features such as colour, texture and shape. Our findings are based both on a review of the relevant literature and on discussions with researchers and practitioners in the field. The need to find a desired image from a ...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i46/91831