Multimedia Database Retrieval:: A Human-Centered Approach (Signals and Communication Technology)

**Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR) systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia.** Highlights include: \* Exploring an adaptive machine that can learn from its environment \* Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process \* Demonstrating state-of-the-art applications within small, medium, and large databases The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval. **Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.** The use of optical free-space emissions to provide indoor wireless com- nications has been studied extensively since the pioneering work of Gfeller and Bapst in 1979 [1]. These studies have been invariably interdisciplinary - volving such far flung areas such as optics design‚ indoor propagation studies‚ electronics design‚ communications systems design amongothers. The focus of this text is on the design of communications systems for indoor wireless optical channels. Signalling techniques developed for wired fibre optic n- works are seldom efficient since they do not consider the bandwidth restricted nature of the wireless optical channel. Additionally‚ the elegant design meth- ologies developed for electrical channels are not directly applicable due to the amplitude constraints of the optical intensity channel. This text is devoted to presenting optical intensity signalling techniques which are spectrally efficient‚ i. e. ‚ techniques which exploit careful pulse design or spatial degrees of freedom to improve data rates on wireless optical channels. The material presented here is complementary to both the comprehensive work of Barry [2] and to the later book by Otte et al. [3] which focused prim- ily on the design of the optical and electronic sub-systems for indoor wireless optical links. The signalling studies performed in these works focused p- marily on the analysis of popular signalling techniques for optical intensity channels and on the use of conventional electrical modulation techniques with some minor modifications (e. g. ‚ the addition of a bias).

Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR)
systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia.

Highlights include:

* Exploring an adaptive machine that can learn from its environment

* Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process

* Demonstrating state-of-the-art applications within small,
medium, and large databases

The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval.

Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.

This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies. Cover......Page 1 Front......Page 2 Preface......Page 7 Contents......Page 8 1 Ad Hoc and Sensor Networks: Opportunities and Challenges......Page 14 Part I - Layered Communication Approaches......Page 17 2 Physical Layer......Page 18 3 Data Link Layer......Page 27 4 Network Layer......Page 55 5 Transport and Middleware Layers......Page 75 6 Application Layer......Page 86 Part II - Cross-Layer Approaches......Page 96 7 Cross-Layer Design......Page 97 8 Cross-Layer Architectures......Page 108 9 Applied Cross-Layer Approaches......Page 118 Part III - Case Studies......Page 162 10 Optimization of an RF Sensor Network......Page 163 11 UWB Ad Hoc Network......Page 195 12 Acoustic Underwater Sensor Network......Page 223 13 Concluding Remarks and Future Directions......Page 246 A Extended Cost Function......Page 248 References......Page 251 Index......Page 265 -Presents state-of-the-art in visual media retrieval. -Coverage of adaptive content-based retrieval systems and techniques in image and video database applications. -Includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital libraries over the Internet. "Wireless Optical Communication Systems addresses the problem of designing efficient signaling and provides a link between the areas of communication theory and modern design for amplitude constrained linear optical intensity channels."--Résumé de l'éditeur "Wireless Optical Communication Systems addresses the problem of designing efficient signaling and provides a link between the areas of communication theory and modern design for amplitude constrained linear optical intensity channels."--Jacket