As the size of multimedia databases grows, retrieval becomes a key challenge in multimedia database management. Accordingly, it is necessary to apply machine learning techniques to automatically tune the mechanism of multimedia retrieval systems. Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives disseminates current information on multimedia retrieval, advances the field of multimedia databases, and educates the multimedia database community. It is a critical text for professionals who are engaged in efforts to understand machine learning techniques for adaptive multimedia retrieval research, design and applications.

As the size of multimedia databases grows, retrieval becomes a key challenge in multimedia database management. Accordingly, it is necessary to apply machine learning techniques to automatically tune the mechanism of multimedia retrieval systems. Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives disseminates current information on multimedia retrieval, advances the field of multimedia databases, and educates the multimedia database community. It is a critical text for professionals who are engaged in efforts to understand machine learning techniques for adaptive multimedia retrieval research, design and applications.

As the size of multimedia databases grows, retrieval becomes a key challenge in multimedia database management. Accordingly, it is necessary to apply machine learning techniques to automatically tune the mechanism of multimedia retrieval systems. Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives disseminates current information on multimedia retrieval, advances the field of multimedia databases, and educates the multimedia database community. It is a critical text for professionals who are engaged in efforts to understand machine learning techniques for adaptive multimedia retrieval research, design and applications.