Web image semantic representation and Application Clustering and Sequencing View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2009-2012

FUNDING AMOUNT

300000 CNY

ABSTRACT

Although the image of the rapid expansion of resources on the Web, but the research on Web image retrieval is still in fairly immature stage. The objective of this research project is to propose a novel method of semantic representation of Web graphics, and research more effective Web Image Clustering and sorting algorithm on this basis. Specific research: 1) According to the Web pages of multimedia content, build Web images and visual text annotation feature, category and type annotation and leave time and other metadata description, and the entities and unexpected word etymology as an important dimension. According to the above description, the use of domain ontology and semantic algorithms described further refinement; 2) study the image plane and hierarchical clustering algorithm represents a new type of Web images, as well as by clustering topics facing the image clustering and events and discovery algorithm hotspots; 3) study multimedia web pages according to their own characteristics and classification of information, the use of content-based image retrieval feedback technology, combined with the user's query log, research more efficient web image retrieval sorting algorithms. The study is the key issue in the design of Web image search engine, the most urgent need to address, and has a broad market prospect. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=60970047

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