Managing Multimedia Semantics

Managing Multimedia Semantics

Uma Srinivasan, Surya Nepal

Copyright: © 2005 |Pages: 409

ISBN13: 9781591405696|ISBN10: 1591405696|EISBN13: 9781591405436|ISBN13 Softcover: 9781591405429

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

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Srinivasan, Uma, and Surya Nepal, editors. Managing Multimedia Semantics. IGI Global, 2005. https://doi.org/10.4018/978-1-59140-569-6

APA

Srinivasan, U. & Nepal, S. (Eds.). (2005). Managing Multimedia Semantics. IGI Global. https://doi.org/10.4018/978-1-59140-569-6

Chicago

Srinivasan, Uma, and Surya Nepal, eds. Managing Multimedia Semantics. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-569-6

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Managing multimedia semantics is a complex task because content creators and archivists describe and interpret semantics associated with the multimedia content in several ways, depending on the context and use of the information. Disciplines such as computer vision and pattern recognition, multimedia database management and modeling, and film theory and semiotics have contributed ideas, theories and techniques for managing multimedia semantics.

Managing Multimedia Semantics effectively ties together current approaches and future trends in managing multimedia semantics. In one comprehensive volume, this book assembles research problems, theoretical frameworks, tools and technologies required for designing multimedia information systems. Managing Multimedia Semantics is aimed at researchers and practitioners involved in designing and managing complex multimedia information systems. It also serves as a reference text for graduate students taking a course in designing multimedia information systems.

Table of Contents

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Front Materials

Title Page

Copyright Page

Preface

Acknowledgments

Chapters

Semantic Indexing and Retrieval of Images

Chapter 1

Toward Semantically Meaningful Feature Spaces for Efficient Indexing in Large Image Databases (pages 1-29)

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 function is known a priori, and the dimensionality of image features is low. The...

Chapter 2

From Classification to Retrieval: Exploiting Pattern Classifiers in Semantic Image Indexing and Retrieval (pages 30-51)

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 perception. Hence, low-level features cannot provide sufficient information for retrieval....

Chapter 3

Self-Supervised Learning Based on Discriminative Nonlinear Features and Its Applications for Pattern Classification (pages 52-76)

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 by the curse of dimensionality as the search space grows exponentially with the...

Audio and Video Semantics

Chapter 4

Context-Based Interpretation and Indexing of Video Data (pages 77-98)

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 of a shot depends on the context in which it is situated and a change in the order...

Chapter 5

Content-Based Music Summarization and Classification (pages 99-134)

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 classification and to present our recent achievements. In order to give a full picture of the...

Chapter 6

A Multidimensional Approach for Describing Video Semantics (pages 135-159)

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. The important issue for video applications is to accommodate different ways in which a...

Chapter 7

Continuous Media Web: Hyperlinking, Search and Retrieval of Time-Continuous Data on the Web (pages 160-181)

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 surfing with existing Web tools. This chapter discusses requirements for such an...

Chapter 8

Management of Multimedia Semantics Using MPEG-7 (pages 182-192)

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 context of multimedia applications. We describe the organisation and structure of the...

User-Centric Approach to Manage Semantics

Chapter 9

Visualization, Estimation and User Modeling for Interactive Browsing of Personal Photo Libraries (pages 193-222)

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 place great demands for new digital content user-interface and management systems which...

Chapter 10

Multimedia Authoring: Human-Computer Partnership for Harvesting Metadata from the Right Sources (pages 223-245)

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 undertaking. It argues that a deep understanding of both the media creation process, together...

Chapter 11

MM4U: A Framework for Creating Personalized Multimedia Content (pages 246-287)

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 information seems to offer, but end up almost drowning in the multimedia information: Too much...

Chapter 12

The Role of Relevance Feedback in Managing Multimedia Semantics: A Survey (pages 288-304)

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 attempt to bridge the semantic gap by keeping a human in the loop. A variety of...

Managing Distributed Multimedia

Chapter 13

EMMO: Tradable Units of Knowledge-Enriched Multimedia Content (pages 305-332)

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 performed on the content, such as rendering, as separate entities, usually kept on...

Chapter 14

Semantically Driven Multimedia Querying and Presentation (pages 333-350)

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 object may be difficult to generate, we show that even a limited description can be...

Emergent Semantics

Chapter 15

Emergent Semantics: An Overview (pages 351-362)

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 models. Often the sensory data and associated context compose situations which have not...

Chapter 16

Emergent Semantics from Media Blending (pages 363-390)

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 the context of other media and through interaction with the user. The interactive...

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