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Research on Image Retrieval Method Based on Multi-Instance Learning

Author: WangChunYan
Tutor: YuanJinSheng
School: Beijing Forestry University
Course: Applied Computer Technology
Keywords: Content-based image retrieval Multiple Instance Learning Image Segmentation
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 140
Quote: 0
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Abstract


In recent years, with the rapid development of multimedia technology and the Internet , the image information has been more attention. From a large number of images in quick , effective and accurate search to people interested in the image become important issues facing content-based image retrieval emerged as the hot issues in multimedia search . This article describes the basic theory of research status content-based image retrieval as well as multi - instance learning , analysis of the current applications of multi-instance learning , content-based image retrieval based on proposed an image based on the multi- instance learning retrieval methods , the multi-instance learning for image retrieval , to better handle image ambiguity . Firstly, the image as a multi - sample package using adaptive k-means image segmentation algorithm the images automatically divided into more than one example , and then use the expected maximum diverse density algorithm for multi - instance learning image similarity Sort learning results . Final package implements the user to select the positive bags and negative feedback , so that users get a satisfactory result .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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