Context-Based Interpretation and Indexing of Video Data

View Sample PDF

Author(s): Ankush Mittal (IIT Roorkee, India), Cheong Loong Fah (The National University of Singapore, Singapore), Ashraf Kassim (The National University of Singapore, Singapore)and Krishnan V. Pagalthivarthi (IIT Delhi, India)
Copyright: 2005
Pages: 22
Source title: Managing Multimedia Semantics
Source Author(s)/Editor(s): Uma Srinivasan (CSIRO ICT Centre, Australia)and Surya Nepal (CSIRO ICT Centre, Australia)
DOI: 10.4018/978-1-59140-569-6.ch004

Keywords: Information Science Reference / Media & Communications / Multimedia Technology

Purchase

View Context-Based Interpretation and Indexing of Video Data on the publisher's website for pricing and purchasing information.

Abstract

Most of the video retrieval systems work with a single shot without considering the temporal context in which the shot appears. However, the meaning of a shot depends on the context in which it is situated and a change in the order of the shots within a scene changes the meaning of the shot. Recently, it has been shown that to find higher-level interpretations of a collection of shots (i.e., a sequence), intershot analysis is at least as important as intrashot analysis. Several such interpretations would be impossible without a context. Contextual characterization of video data involves extracting patterns in the temporal behavior of features of video and mapping these patterns to a high-level interpretation. A Dynamic Bayesian Network (DBN) framework is designed with the temporal context of a segment of a video considered at different granularity depending on the desired application. The novel applications of the system include classifying a group of shots called sequence and parsing a video program into individual segments by building a model of the video program.

The IRMA Community

Research IRM

Context-Based Interpretation and Indexing of Video Data

Purchase

Abstract

Related Content

IRMA Sponsors