CIVR 2006 - PDF Preprint Papers

CIVR 2006 Conference On Image And Video Retrieval

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CIVR
2006
Springer

219views Image Analysis» more CIVR 2006»

Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation

13 years 8 months ago

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We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...

Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao

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Id	Views	Title	Status

1	219	Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation	claim
2	201	Efficient Margin-Based Rank Learning Algorithms for Information Retrieval	claim
3	189	Automatic Person Annotation of Family Photo Album	claim
4	186	Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure	claim
5	181	Image Searching and Browsing by Active Aspect-Based Relevance Learning	claim
6	174	Annotating News Video with Locations	claim
7	172	Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram	claim
8	151	VideoSOM: A SOM-Based Interface for Video Browsing	claim
9	145	Learned Lexicon-Driven Interactive Video Retrieval	claim
10	144	A Linear-Algebraic Technique with an Application in Semantic Image Retrieval	claim
11	143	Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval	claim
12	141	Context-Aware Media Retrieval	claim
13	139	Finding People Frequently Appearing in News	claim
14	139	NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features	claim
15	139	Mediamill: Advanced Browsing in News Video Archives	claim
16	139	Using High-Level Semantic Features in Video Retrieval	claim
17	138	A Large Scale System for Searching and Browsing Images from the World Wide Web	claim
18	136	Semi-supervised Learning for Image Annotation Based on Conditional Random Fields	claim
19	131	Exploring the Synergy of Humans and Machines in Extreme Video Retrieval	claim
20	131	A Multi-feature Optimization Approach to Object-Based Image Classification	claim
21	129	Retrieving Objects Using Local Integral Invariants	claim
22	128	Using Topic Concepts for Semantic Video Shots Classification	claim
23	126	Semantics Supervised Cluster-Based Index for Video Databases	claim
24	125	Estimating the Physical Effort of Human Poses	claim
25	121	Finding Faces in Gray Scale Images Using Locally Linear Embeddings	claim
26	121	Video Navigation Based on Self-Organizing Maps	claim
27	117	Video Clip Matching Using MPEG-7 Descriptors and Edit Distance	claim
28	115	Logistic Regression of Generic Codebooks for Semantic Image Retrieval	claim
29	114	Keyframe Retrieval by Keypoints: Can Point-to-Point Matching Help?	claim
30	113	Eliciting Perceptual Ground Truth for Image Segmentation	claim
31	106	Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting	claim
32	104	Video Mining with Frequent Itemset Configurations	claim
33	97	Mining Novice User Activity with TRECVID Interactive Retrieval Tasks	claim
34	95	Hierarchical Hidden Markov Model for Rushes Structuring and Indexing	claim
35	94	Modular Design of Media Retrieval Workflows Using ARIA	claim
36	92	Query by Semantic Example	claim

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