Intelligent Multimedia Processing with Soft Computing

In this book, we present retrieval techniques using content-based and concept-based technologies, for digital image and video database applications. We first deal with the state-of-the-art methods in a content-based framework including: Laplacian mixture model for content characterization, nonlinear relevance feedback, combining audio and visual features for video retrieval, and designing automatic relevance feedback in distributed digital libraries. We then take an elevated post, to review the defining characteristic and usefulness of the current content-based approaches and to articulate any required extension in order to support semantic queries.