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Image and Video Retrieval [electronic resource] : 5th Internatinoal Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006, Proceedings / edited by Hari Sundaram, Milind Naphade, John Smith, Yong Rui.

Edition:
1st ed. 2006.
Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI SL 3, 4071
Information Systems and Applications, incl. Internet/Web, and HCI ; 4071
Format/Description:
Book
1 online resource (XII, 548 pages)
Subjects:
Computer graphics.
Information storage and retrieval.
Database management.
Application software.
Multimedia systems.
Optical data processing.
Local subjects:
Computer Graphics. (search)
Information Storage and Retrieval. (search)
Database Management. (search)
Information Systems Applications (incl. Internet). (search)
Multimedia Information Systems. (search)
Image Processing and Computer Vision. (search)
System Details:
text file PDF
Summary:
This volume contains the proceeding of the 5th International Conference on - age and Video Retrieval (CIVR), July 13-15, 2006, Arizona State University, Tempe, AZ, USA: http://www. civr2006. org. Image and video retrieval cont- ues to be one of the most exciting and fast-growing research areas in the ?eld of multimedia technology. However, opportunities for exchanging ideas between researchers and users of image and video retrieval systems are still limited. The InternationalConferenceonImageandVideo Retrieval(CIVR)hastakenonthe mission of bringing together these communities to allow researchers and prac- tioners around the world to share points of view on image and video retrieval. A uniquefeatureoftheconferenceistheemphasisonparticipationfrompractiti- ers. The objective is to illuminate critical issues and energize both communities for the continuing exploration of novel directions for image and video retrieval. We receivedover 90 submissions for the conference. Eachpaper wascarefully reviewed by three members of the program committee, and then checked by one of the program chairs and/or general chairs. The program committee consisted of more than 40 experts in image and video retrieval from Europe, Asia and North America, and we drew upon approximately 300 high-quality reviews to ensure a thorough and fair review process. The paper submission and review process was fully electronic, using the EDAS system. The quality of the submitted papers was very high, forcing the committee members to make some di?cult decisions. Due to time and space constraints, we could only accept 18 oral papers and 30 poster papers.
Contents:
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 O2: 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 O3: 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 O4: 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 O5: 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 O6: 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
Feature Re-weighting in Content-Based Image Retrieval
Objectionable Image Detection by ASSOM Competition
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
ROI-Based Medical Image Retrieval Using Human-Perception and MPEG-7 Visual Descriptors
Hierarchical Hidden Markov Model for Rushes Structuring and Indexing
Retrieving Objects Using Local Integral Invariants
Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram
Relay Boost Fusion for Learning Rare Concepts in Multimedia
Comparison Between Motion Verbs Using Similarity Measure for the Semantic Representation of Moving Object
Coarse-to-Fine Classification for Image-Based Face Detection
Using Topic Concepts for Semantic Video Shots Classification
A Multi-feature Optimization Approach to Object-Based Image Classification
Eliciting Perceptual Ground Truth for Image Segmentation
Session P2: Poster II
Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval
Video Navigation Based on Self-Organizing Maps
Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval
Video Mining with Frequent Itemset Configurations
Using High-Level Semantic Features in Video Retrieval
Recognizing Objects and Scenes in News Videos
Face Retrieval in Broadcasting News Video by Fusing Temporal and Intensity Information
Multidimensional Descriptor Indexing: Exploring the BitMatrix
Natural Scene Image Modeling Using Color and Texture Visterms
Online Image Retrieval System Using Long Term Relevance Feedback
Perceptual Distance Functions for Similarity Retrieval of Medical Images
Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS)
Semantics Supervised Cluster-Based Index for Video Databases
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
Session A: ASU Special Session
Context-Aware Media Retrieval
Estimating the Physical Effort of Human Poses
Modular Design of Media Retrieval Workflows Using ARIA
Image Rectification for Stereoscopic Visualization Without 3D Glasses
Human Movement Analysis for Interactive Dance
Session D: Demo Session
Exploring the Dynamics of Visual Events in the Multi-dimensional Semantic Concept Space
VideoSOM: A SOM-Based Interface for Video Browsing
iBase: Navigating Digital Library Collections
Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
Efficient Summarizing of Multimedia Archives Using Cluster Labeling
Collaborative Concept Tagging for Images Based on Ontological Thinking
Multimodal Search for Effective Video Retrieval
MediAssist: Using Content-Based Analysis and Context to Manage Personal Photo Collections
Mediamill: Advanced Browsing in News Video Archives
A Large Scale System for Searching and Browsing Images from the World Wide Web
Invited Talks
Embrace and Tame the Digital Content
Discovering a Fish in a Forest of Trees - False Positives and User Expectations in Visual Retrieval: Experiments in CBIR and the Visual Arts.
Contributor:
Sundaram, Hari. editor., Editor,
Naphade, Milind. editor., Editor,
Smith, John, editor., Editor,
Rui, Yong, editor., Editor,
SpringerLink (Online service)
Contained In:
Springer eBooks
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-540-36019-3
9783540360193
Publisher Number:
10.1007/11788034 doi
Access Restriction:
Restricted for use by site license.
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