Context-Based Interpretation and Indexing of Video Data

Context-Based Interpretation and Indexing of Video Data

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
DOI: 10.4018/978-1-59140-569-6.ch004
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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.

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Table of Contents
Acknowledgments
Uma Srinivasan, Surya Nepal
Chapter 1
Anne H.H. Ngu, Jialie Shen, John Shepherd
The optimized distance-based access methods currently available for multimedia databases are based on two major assumptions: a suitable distance... Sample PDF
Toward Semantically Meaningful Feature Spaces for Efficient Indexing in Large Image Databases
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Chapter 2
Joo-Hwee Lim, Jesse S. Jin
Users query images by using semantics. Though low-level features can be easily extracted from images, they are inconsistent with human visual... Sample PDF
From Classification to Retrieval: Exploiting Pattern Classifiers in Semantic Image Indexing and Retrieval
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Chapter 3
Qi Tian, Ying Wu, Jie Yu, Thomas S. Huang
For learning-based tasks such as image classification and object recognition, the feature dimension is usually very high. The learning is afflicted... Sample PDF
Self-Supervised Learning Based on Discriminative Nonlinear Features and Its Applications for Pattern Classification
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Chapter 4
Ankush Mittal, Cheong Loong Fah, Ashraf Kassim, Krishnan V. Pagalthivarthi
Most of the video retrieval systems work with a single shot without considering the temporal context in which the shot appears. However, the meaning... Sample PDF
Context-Based Interpretation and Indexing of Video Data
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Chapter 5
Changsheng Xu, Xi Shao, Namunu C. Maddage, Jesse S. Jin, Qi Tian
This chapter aims to provide a comprehensive survey of the technical achievements in the area of content-based music summarization and... Sample PDF
Content-Based Music Summarization and Classification
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Chapter 6
Uma Srinivasan, Surya Nepal
In order to manage large collections of video content, we need appropriate video content models that can facilitate interaction with the content.... Sample PDF
A Multidimensional Approach for Describing Video Semantics
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Chapter 7
Silvia Pfeifer, Conrad Parker, André Pang
The Continuous Media Web project has developed a technology to extend the Web to time-continuously sampled data enabling seamless searching and... Sample PDF
Continuous Media Web: Hyperlinking, Search and Retrieval of Time-Continuous Data on the Web
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Chapter 8
Uma Srinivasan, Ajay Divakaran
This chapter presents the ISO/IEC MPEG-7 Multimedia Content description Interface Standard from the point of view of managing semantics in the... Sample PDF
Management of Multimedia Semantics Using MPEG-7
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Chapter 9
Qi Tian, Baback Moghaddam, Neal Lesh, Chia Shen, Thomas S. Huang
Recent advances in technology have made it possible to easily amass large collections of digital media. These media offer new opportunities and... Sample PDF
Visualization, Estimation and User Modeling for Interactive Browsing of Personal Photo Libraries
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Chapter 10
Brett Adams, Svetha Venkatesh
This chapter takes a look at the task of creating multimedia authoring tools for the amateur media creator, and the problems unique to the... Sample PDF
Multimedia Authoring: Human-Computer Partnership for Harvesting Metadata from the Right Sources
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Chapter 11
Ansgar Scherp, Susanne Boll
In the Internet age and with the advent of digital multimedia information, we succumb to the possibilities that the enchanting multimedia... Sample PDF
MM4U: A Framework for Creating Personalized Multimedia Content
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Chapter 12
Samar Zutshi, Campbell Wilson, Shonali Krishnamurthy, Bala Srinivasan
Relevance feedback is a mature technique that has been used to take user subjectivity into account in multimedia retrieval. It can be seen as an... Sample PDF
The Role of Relevance Feedback in Managing Multimedia Semantics: A Survey
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Chapter 13
Utz Westermann, Sonja Zillner, Karin Schellner, Wolfgang Klaus
Current semantic approaches to multimedia content modeling treat the content’s media, the semantic description of the content, and the functionality... Sample PDF
EMMO: Tradable Units of Knowledge-Enriched Multimedia Content
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Chapter 14
Isabel F. Cruz, Olga Sayenko
Semantics can play an important role in multimedia content retrieval and presentation. Although a complete semantic description of a multimedia... Sample PDF
Semantically Driven Multimedia Querying and Presentation
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Chapter 15
Viranga Ratnaike, Bala Srinivasan, Surya Nepal
The semantic gap is recognized as one of the major problems in managing multimedia semantics. It is the gap between sensory data and semantic... Sample PDF
Emergent Semantics: An Overview
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Chapter 16
Edward Altman, Lonce Wyse
The computation of emergent semantics for blending media into creative compositions is based on the idea that meaning is endowed upon the media in... Sample PDF
Emergent Semantics from Media Blending
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