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)
To enable seamless integration of video information on the semantic Web, we require that the knowledge of a video domain be formally specified in ontology. We present a novel approach for defining video domain concepts in an ontology using properties that can be observed from the media. We use the ontology specified knowledge for recognizing concepts(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)
This paper presents a novel method for discovery and recognition of hairstyles in a collection of colored face images. We propose the use of Agglomerative clustering for automatic discovery of distinct hairstyles. Our method proposes automated approach for generation of hair, background and face-skin probability-masks for different hairstyle category(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)
We present the planning scheme for a cooperative agent-based multimedia retrieval architecture that integrates a heterogeneous set of repositories into a coherent information system. The agents in the system collaborate in context of a conceptual query to formulate unique retrieval strategies for the different collections. The retrieval plan makes(More)
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 sequences and(More)