Srihari et al (2000). Rohini K. Srihari, Zhongfai Zhang & Aibing Rao, "Intelligent Indexing And Semantic Retrieval Of Multimodal Documents," Information Retrieval, Vol.2 (2-3), pp.245-75, Kluwer, USA. Home/Search Document Details and Download
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....shape descriptors and so on. The main focus of this paper is: How to fuse these ranked lists together to achieve the best ranked list which is returned as a list of the top matches to q The linear combination model is extensively investigated for the fusion of information retrieval systems [6, 89], especially for text retrieval systems [45, 77, 100] These models have proposed mechanisms to assign weights to the different types of scores to obtain a summary score for each document via training or relevance feedback. However, the heterogeneous property of the scores from different feature ....
R. Srihari, Z. Zhang, and A. Rao. Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval, 2(2):245--275, May 2000.
Semi-Automatic Image Annotation - Wenyin, Dumais, Sun, Zhang.. (2001) (8 citations) (Correct)
....to do it, so automatic image annotation techniques may be desirable. Recently researchers have used the context in which some images are embedded to automatically index images. Shen et al. 2000) use the rich textual context of web pages as potential description of images on the same pages. Srihari et al. 2000) extract named entities (e.g. people, places, things) from collateral text to automatically index images. Lieberman (2000) describes a system ARIA (Agent and Retrieval Integration Agent) that integrates image retrieval and use. The system uses words in email messages in which images are embedded ....
Srihari, RK, Zhang, Z, and Rao, A (2000) Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval, 2, 245-275.
Content-Based Image Retrieval Systems: A Survey - Veltkamp, Tanase (2000) (17 citations) (Correct)
....Information Retrieval System) Developer Center of Excellence for Document Analysis and Recognition, University at Bu alo, NY, USA. URL http: www.cedar.buffalo.edu MMIR . A demo of the system is available at webaddress http: www.cedar.Buffalo.EDU MMIR demo index.html. References [Sri95] SZR00] Features The MIR system combines various techniques from text processing and image processing in an attempt to derive semantic descriptions of images. By employing natural language processing (NLP) techniques in analyzing image captions, information about the picture s content is derived. This ....
Rohini Srihari, Zhongfei Zhang, and Aibing Rao. Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval, 2(2):245-275, 2000. http://www.cse.buffalo.edu/~arao/Papers/ir.ps.gz.
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Srihari et al (2000). Rohini K. Srihari, Zhongfai Zhang & Aibing Rao, "Intelligent Indexing And Semantic Retrieval Of Multimodal Documents," Information Retrieval, Vol.2 (2-3), pp.245-75, Kluwer, USA.
Resourcespou - Model Andpd Gk (Correct)
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Srihari, R.K., Zhang, Z., Rao, A., 2000. Intelligent indexing and semantic retrieval of multimodel documents. Information Retrieval (2), 245--275.
Semantic Link Network Builder and Intelligent Semantic Browser - Zhuge, al. (2004) (Correct)
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Srihari RK, Zhang Z, Rao A. Intelligent indexing and semantic retrieval of multimodel documents. Information Retrieval 2000; 2:245--275.
Confidence-based Dynamic Ensemble for Image Annotation and.. - Li, Goh, Chang (2003) (Correct)
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R. Srihari, Z. Zhang, and A. Rao. Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval, 2:245--275, 2000.
Faceted Metadata for Image Search and Browsing - Yee, Swearingen, Li, Hearst (2003) (15 citations) (Correct)
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R. K. Srihari, Z. Zhang, and A. Rao. Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval, 2(2/3):245--275, 2000.
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