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图象与视频检索: CIVR 2006/会议录 Image and video retrieval

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  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

The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available.

The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes.

-proceedings(published in time for the respective conference)

-post-proceedings(consisting of thoroughly revised final full papers)

-research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.).

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

 
 
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