Semantic-based visual information retrieval
Semantic-based visual information retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for access, interaction, searching, and retrieving from collected databases of visual media. Building on research from over 30 lea...
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Format: | Electronic |
Language: | English |
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Hershey, Pa. :
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
c2007.
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Online Access: | View fulltext via EzAccess |
Table of Contents:
- Toward High-Level Visual Information Retrieval / Yu-Jin Zhang
- The Impact of Low-Level Features in Semantic-Based Image Retrieval / Konstantinos Konstantinidis, Antonios Gasteratos, Ioannis Andreadis
- Shape-Based Image Retrieval by Alignment / Enver Sangineto
- Statistical Audio-Visual Data Fusion for Video Scene Segmentation / Vyacheslav Parshin, Liming Chen
- A Novel Framework for Image Categorization and Automatic Annotation / Feng Xu, Yu-Jin Zhang
- Automatic and Semi-Automatic Techniques for Image Annotation / Biren Shah ... [et al.]
- Adaptive Metadata Generation for Integration of Visual and Semantic Information / Hideyasu Sasaki, Yasushi Kiyoki
- Interaction Models and Relevance Feedback in Image Retrieval / Daniel Heesch, Stefan Rüger
- Semi-Automatic Ground Truth Annotation for Benchmarking of Face Detection in Video / Dzmitry Tsishkou, Liming Chen, Eugeny Bovbel
- An Ontology-Based Framework for Semantic Image Analysis and Retrieval / Stamatia Dasiopoulou ... [et al.]
- A Machine Learning-Based Model for Content-Based Image Retrieval / Hakim Hacid, Abdelkader Djamel Zighed
- Neural Networks for Content-Based Image Retrieval / Brijesh Verma, Siddhivinayak Kulkarni
- Semantic-Based Video Scene Retrieval Using Evolutionary Computing / Hun-Woo Yoo
- Managing Uncertainties in Image Databases / Antonio Picariello, Maria Luisa Sapino
- A Hierarchical Classification Technique for Semantics-Based Image Retrieval / Mohammed Lamine Kherfi, Djemel Ziou
- Semantic Multimedia Information Analysis for Retrieval Applications / João Magalhães, Stefan Rüger.