Image and Video Retrieval 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sundaram, Hari (Επιμελητής έκδοσης), Naphade, Milind (Επιμελητής έκδοσης), Smith, John R. (Επιμελητής έκδοσης), Rui, Yong (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 4071
• Θέματα: Computer science.; Database management.; Information storage and retrieval.; Multimedia information systems.; Computer graphics.; Image processing.; Computer Science.; Computer Graphics.; Information Storage and Retrieval.; Database Management.; Information Systems Applications (incl. Internet).; Multimedia Information Systems.; Image Processing and Computer Vision.

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 th...

Πίνακας περιεχομένων:

• 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.