Content Based Image Searching Using Focused Crawler
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In today’s world, the metadata of the image is looked up by image search engine, when a search query is performed. However some search engines can identify a limited range of visual content also e.g. faces, tree, sky, buildings etc. In this paper, we describe how to enhance the capabilities of an image search engine by applying content based image searching. The search query is matched with the text contained in the image itself along with the metadata of the image. Focused crawler is used in the process. This results in providing more accurate results, matching with search query. Later, the text contained in the image can be added to the index of the image along with the metadata which reduces the searching time occupied by text extraction algorithms
Yu, Yi Xu : Imaged Document Text Retrieval
without OCR
[2] Dongming Jiang, Arvind Krishnamurthy,
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Apparatus For Focused Crawling (US 7,080,073
B1)
[3] Junghoo Cho and Sougata Mukherjea :
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A World Wide Web Based Image Search Engine
Using Text and Image Content Features
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topic-specific Web resource discovery
[6] Ka-Ping Yee, Kirsten Swearingen, Kevin
Li,Marti Hearst : Faceted Metadata for Image
Search and Browsing
[7] Marc Najork : Web Crawler Architecture
[8] Brian Pinkerton : Finding What People Want:
Experiences with the WebCrawler
[9] Jenny Edwards, Kevin McCurley, John Tomlin :
An Adaptive Model for Optimizing Performance of
an Incremental Web Crawler
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and Implementation of a High-Performance
Distributed Web Crawler
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CRAWLer using ontology
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enhanced form-focused crawler for domain-specific
deep web databases
[13] MARC NAJORK : Web Crawler Architecture
[14] Serge Belongie, Chad Carson, Hayit Greenspan
and Jitendra Malik : Color- and Texture-Based
Image Segmentation Using EM and Its Application
to Content-Based Image Retrieval
[15] Yong Rui, Thomas S. Huang, Michael Ortega,
and Sharad Mehrotra : Relevance Feedback: A
Power Tool for Interactive Content-Based Image
Retrieval
[16] Stan Sclaroff, Leonid Taycher, and Marco La
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content capturing and fast image indexing
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