Showing papers by "Gaurav Harit published in 2004"

Managing document images in a digital library: an ontology guided approach

Abstract: 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 images. Further, Heritage+ proposes a new scheme for encoding and use of ontology for accessing multimedia collection. In the context of document images, the ontology specifies the document class-specific semantics of the logical components that help in an automated semantically meaningful linking of documents and their components with heterogeneous media-type resources. Further, Heritage+ supports conceptual query of document images along with other media elements. This multifunctional access interface to the document images is provided in Heritage+ using a novel model guided document image segmentation scheme and word-image based indexing scheme.

Video shot interpretation using principles of perceptual prominence and perceptual grouping in spatio-temporal domain

Abstract: We propose a computational model for generating an interpretation of a video shot based on our proposed principle of perceptual prominence. We also provide a formulation of the perceptual grouping problem in the spatio-temporal domain to identify the perceptual clusters. We illustrate our approach with experimental results.

Spatio-Temporal Grouping Models and Prominence Models in Perceptual Organization for Semantic Interpretation of Video Shot.

Abstract: We focus on the problem of video shot interpretation by making use of perceptual grouping principles on the visual primitives (2D blobs) in a video shot. We present a novel scheme for modeling the homogeneous regions in the form of 2D blobs, that can be tracked easily across the frames. We describe a novel spatio-temporal perceptual grouping scheme, applied on blobs, that makes use of specified temporal consistency model. The grouping results in blob cliques or perceptual clusters or subjects in the scene. A high level semantic interpretation of scenes is done using the principle of Perceptual Prominence of temporal behaviors of the perceptual clusters.