图象与视频检索: CIVR 2006/会议录 Image and video retrieval
分類: 图书,进口原版书,科学与技术 Science & Techology ,
作者: Hari Sundaram,Milind Naphade,John Smith,Yong Rui 著
出 版 社: 湖北辞书出版社
出版时间: 2006-12-1字数:版次: 1页数: 547印刷时间: 2006/12/01开本:印次:纸张: 胶版纸I S B N : 9783540360186包装: 平装编辑推荐
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内容简介
This book constitutes the refereed proceedings of the 5th International Conference on Image and Video Retrieval, CIVR 2006, held in Singapore in July 2006. The 18 revised full papers and 30 poster papers presented together with the extended abstracts of 5 papers of 1 special session and those of 10 demonstration papers were carefully reviewed and selected for inclusion in the book. Besides the invited and industrial presentations the papers are organized in topical sections on interactive image and video retrieval, semantic image retrieval, visual feature analysis, learning and classification, image and video retrieval metrics, and machine tagging.
目录
Session O1: Interactive Image and Video Retrieval
Interactive Experiments in Object-Based Retrieval
Learned Lexicon-Driven Interactive Video Retrieval
Mining Novice User Activity with TRECVID Interactive Retrieval Tasks
Session 02: Semantic Image Retrieval
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval
Logistic Regression of Generic Codebooks for Semantic Image Retrieval
Query by Semantic Example
Session 03: Visual Feature Analysis
Corner Detectors for Affine Invariant Salient Regions: Is Color Important?
Keyframe Retrieval by Keypoints: Can Point-to-Point Matching Help?
Local Feature Trajectories for Efficient Event-Based Indexing of Video Sequences
Session 04: Learning and Classification
A Cascade of Unsupervised and Supervised Neural Networks for Natural Image Classification
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Session 05: Image and Video Retrieval Metrics
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Video Clip Matching Using MPEG-7 Descriptors and Edit Distance
Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting
Session 06: Machine Tagging
Annotating News Video with Locations
Automatic Person Annotation of Family Photo Album
Finding People Frequently Appearing in News
Session P1: Poster Ⅰ
A Novel Framework for Robust Annotation and Retrieval in Video Sequences
……
Session P2:Poster Ⅱ
Session A:ASU Special Session
Session D:Demo Session
Invited Talks
Author Index