Semantic-Based Visual Information Retrieval
qThis book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and moreq--Provided by publisher.This information subsequently can be used to optimize retrieval parameters and to enhance retrieval performance. The first part of the chapter provides a comprehensive review of existing relevance feedback techniques and also discusses a number of ... A strict guide on how to speed up manual annotation process by 30 times is presented and is illustrated with sample test video sequences that consistanbsp;...
| Title | : | Semantic-Based Visual Information Retrieval |
| Author | : | Zhang, Yu-Jin |
| Publisher | : | IGI Global - 2006-11-30 |
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