附註:Includes bibliographical references and index.
Cover -- Table of Content -- Preface -- 1 Introduction -- 1.1 Technical Issues . . -- 1.2 Content-Based Retrieval -- 1.3 Challenges and solutions -- 1.4 Layout of the Book -- References -- 2 Formalism of Content-based Multimedia Systems -- 2.1 The System Must be User-centered -- 2.2 Content-based Multimedia Information System -- 2.3 Object Recall -- A New Formalism for Content-Based Re-trieval -- 2.4 A Content-Based Similarity Retrieval Formalism -- 2.5 Learning of Similarity Function -- 2.6 Experimental Results -- 2.7 Conclusions -- References -- 3 Color Feature Extraction -- 3.1 Color Spaces Selection -- 3.2 Color Measures -- 3.3 Reference Color Table Method -- References -- 4 Texture Feature Extraction -- 4.1 Discrete Cosine Transformed Texture -- 4.2 Wavelet Transformed Texture Feature -- 4.3 Texture Features Based on Second MomentM atrix -- 4.4 Comparative Study -- References -- 5 Video Processing -- 5.1 Review of Video Processing Techniques -- 5.2 Content-Based Representative Frame Extraction and Video Summary -- References -- 6 Object Segmentation -- 6.1 Edge-preserved smoothing of features -- 6.2 Segmentation algorithm: clustering and region merging -- 6.3 Experiment results -- References -- 7 Human Face Detection -- 7.1 Color Segmentation of Faces -- 7.2 Shape Information As a Cue -- 7.3 Face Feature Detection Using DOG Operators -- 7.4 Template-based Human Face Detection -- References -- 8 Visual Keywords -- 8.1 Introduction -- 8.2 Related Works -- 8.3 Methodology -- 8.4 Image Retrieval -- 8.5 Image Categorization -- 8.6 Conclusions and Future Directions -- References -- 9 Fuzzy Retrieval -- 9.1 Problem Definition -- 9.2 Fuzzy Database Model -- 9.3 Fuzzy Query Pro -- 9.4 Learning Fuzzy Membership Functions -- 9.5 Experimental Results of Fuzzy Retrieval -- 9.6 Conclusion and Remarks -- References -- 10 Face Retrieval -- 10.1 CAFIIR system -- 10.2 Content -Based Indexing of Multimedia Object -- 10.3 ContIndex Creation by Self-organization Neural Networks
摘要:Multimedia data comprising of images, audio and video is becoming increasingly common. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data generated and distributed. Given that this trend of increased use of multimedia data is likely to accelerate, there is an urgent need for providing a clear means of capturing, storing, indexing, retrieving, analyzing and summarizing such data. Content-based access to multimedia data is of primary importance since it is the natural way by which human beings interact with such information. To facilitate the content-based access of multimedia information, the first step is to derive feature measures from these data so that a feature space representation of the data content can be formed. This can subsequently allow for mapping the feature space to the symbol space (semantics) either automatically or through human intervention. Thus, signal to symbol mapping, useful for any practical system, can be successfully achieved. Perspectives on Content-Based Multimedia Systems provides a comprehensive set of techniques to tackle these important issues. This book offers detailed solutions to a wide range of practical problems in building real systems by providing specifics of three systems built by the authors. While providing a systems focus, it also equips the reader with a keen understanding of the fundamental issues, including a formalism for content-based multimedia database systems, multimedia feature extraction, object-based techniques, signature-based techniques and fuzzy retrieval techniques. The performance evaluation issues of practical systems is also explained. This book brings together essential elements of building a content-based multimedia database system in a way that makes them accessible to practitioners in computer science and electrical engine
