Sharad Mehrotra - Academia.edu (original) (raw)

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Papers by Sharad Mehrotra

Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evo... more Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image retrieval model to text retrieval model, such that the well established t e x t r etrieval techniques can be utilized. Approaches of converting image feature v e ctors (IP domain) to weighted-term vectors (IR domain) are proposed in this paper. Furthermore, the relevance f e edback technique fro m t h e I R d o m a i n i s u s e d i n c ontent-based image retrieval to demonstrate the e ectiveness of this conversion. Experimental results show that the image retrieval precision increases considerably by using the proposed integration approach.

INTRODUCTION The vision of semantic interoperability on a large-scale, such as that envisioned by... more INTRODUCTION The vision of semantic interoperability on a large-scale, such as that envisioned by the concept of the Semantic-Web (Berners-Lee, Hendler & Lassila, 2001), continues to sustain interest and excitement. The availability of automated tools for semantic annotation of data on the open Web is recognized as critical for Semantic-Web enablement. In the process of semantic annotation we annotate significant entities and relationships in documents and pages on the Web, thus making them amenable for machine processing. The time and investment of marking and annotating Web content manually is prohibitive for all but a handful of Web content providers, which leads us to develop automated tools for this task. As an example, consider Web pages of academic researchers with their biographies in free text as shown in Fig 1.

To address the emerging needs of access to and retrieval of multimedia objects in many applicatio... more To address the emerging needs of access to and retrieval of multimedia objects in many applications, we have started a Multimedia Analysis and Retrieval Systems project at the University of Illinois. This project addresses three main aspects in Multimedia Information Retrieval, i.e. feature extraction, multimedia object description, and retrieval algorithm. Although MPEG-7 will concentrate only on multimedia object description, such a goal will be better accomplished if its interfaces to feature extraction and retrieval algorithm are appropriate defined. In this proposal, we will first give a brief overview of the MARS system. Then we propose a multimedia object model for MPEG-7's content description interface. The proposed model allows information abstraction at various semantic levels. To better model human perception subjectivity to multimedia data, relevance feedback is integrated into the retrieval process. Our experimental results show that the proposed multimedia object model ...

2007 IEEE 23rd International Conference on Data Engineering, 2007

Integrated Series In Information Systems, 2008

Lecture Notes in Computer Science, 2006

2007 IEEE Intelligence and Security Informatics, 2007

This paper describes our work on developing technology for rapidly assembling information portals... more This paper describes our work on developing technology for rapidly assembling information portals that provide integrated access to and analysis of information from multiple sources in the case of any disaster. Many recent disasters (the S.E. Asian Tsunamis, the London subway bombings, the Katrina hurricane, to name a few) have demonstrated that a lot of valuable information becomes available in the hours and days immediately following the disaster, and such information is indeed valuable to disaster managers or even citizens in their response. In this paper we describe our work on developing information portals for disasters in general; we describe many key information processing capabilities and challenges that we consider important in such portals and also describe our approach to developing such capabilities.

2009 WRI World Congress on Computer Science and Information Engineering, 2009

2009 IEEE International Conference on Intelligence and Security Informatics, 2009