Hiranmay Ghosh

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This paper proposes a new method for using implicit user feedback from clickthrough data to provide personalized ranking of results in a video retrieval system. The annotation based search is complemented with a feature based ranking in our approach. The ranking algorithm uses belief revision in a Bayesian Network, which is derived from a multimedia(More)
Preservation of intangible cultural heritage, such as music and dance, requires encoding of background knowledge together with digitized records of the performances. We present an ontology-based approach for designing a cultural heritage repository for that purpose. Since dance and music are recorded in multimedia format, we use Multimedia Web Ontology(More)
We present a novel user interface for visualizing and navigating in a multimedia document collection. Domain ontology has been used to depict the background knowledge organization and map the multimedia information nodes on that knowledge map, thereby making the implicit knowledge organization in a collection explicit. The ontology is automatically created(More)
Several multimedia applications need to reason with concepts and their media properties in specific domain contexts. Media properties of concepts exhibit some unique characteristics that cannot be dealt with conceptual modeling schemes followed in the existing ontology representation and reasoning schemes. We have proposed a new perceptual modeling(More)
In this paper we present Heritage+, an integrated platform for interactive access of different types of media elements through an unified interface. A unique aspect of Heritage+ is that it deals with document images as distinct media type and implements tools and techniques for browsing and querying document images along with other media elements like video(More)
The problems associated with automatic analysis of news telecasts are more severe in a country like India, where there are many national and regional language channels, besides English. In this paper, we present a framework for multimodal analysis of multilingual news telecasts, which can be augmented with tools and techniques for specific news analytics(More)
This paper describes a method to identify events being vigorously discussed on social media and to present them in the form of a web-based daily magazine. Tweet texts and hyperlinked information sources, such as images and news articles, are analyzed to discover the events. The events are selected for presentation using an "interestingness factor", which(More)