Toward Improved Ranking Metrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
User-trainable video annotation using multimodal cues
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The combination limit in multimedia retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Optimal multimodal fusion for multimedia data analysis
Proceedings of the 12th annual ACM international conference on Multimedia
On the detection of semantic concepts at TRECVID
Proceedings of the 12th annual ACM international conference on Multimedia
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hidden Markov models for automatic annotation and content-based retrieval of images and video
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Mining multimedia salient concepts for incremental information extraction
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Graph based multi-modality learning
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Semi-automatic video annotation based on active learning with multiple complementary predictors
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Semi-supervised learning with graphs
Semi-supervised learning with graphs
Content-based video retrieval: does video's semantic visual feature matter?
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Toward Robust Distance Metric Analysis for Similarity Estimation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Exploring temporal consistency for video analysis and retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Manifold-ranking based video concept detection on large database and feature pool
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Automatic video annotation by semi-supervised learning with kernel density estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Lessons for the future from a decade of informedia video analysis research
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Annotating personal albums via web mining
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Transductive multi-label learning for video concept detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Semi-supervised kernel density estimation for video annotation
Computer Vision and Image Understanding
Foundations and Trends in Information Retrieval
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Tensor-based transductive learning for multimodality video semantic concept detection
IEEE Transactions on Multimedia
Semi-supervised bilinear subspace learning
IEEE Transactions on Image Processing
Multigraph-based query-independent learning for video search
IEEE Transactions on Circuits and Systems for Video Technology
Personalized online video recommendation by neighborhood score propagation based global ranking
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Evolutionary cross-domain discriminative hessian eigenmaps
IEEE Transactions on Image Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semi-automatic flickr group suggestion
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Fusing heterogeneous modalities for video and image re-ranking
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A transductive multi-label learning approach for video concept detection
Pattern Recognition
Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Difficulty guided image retrieval using linear multiview embedding
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Automatic tag generation and ranking for sensor-rich outdoor videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Exploiting the entire feature space with sparsity for automatic image annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
Image classification by multimodal subspace learning
Pattern Recognition Letters
Multi-graph multi-instance learning for object-based image and video retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Classifier-specific intermediate representation for multimedia tasks
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Local goemetrical feature with spatial context for shape-based 3D model retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Knowledge adaptation for ad hoc multimedia event detection with few exemplars
Proceedings of the 20th ACM international conference on Multimedia
Interactive social group recommendation for Flickr photos
Neurocomputing
Graph-based semi-supervised learning with multi-modality propagation for large-scale image datasets
Journal of Visual Communication and Image Representation
Local 3d symmetry for visual saliency in 2.5d point clouds
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Web page and image semi-supervised classification with heterogeneous information fusion
Journal of Information Science
Video content categorization using the double decomposition
Multimedia Tools and Applications
Multiview Hessian discriminative sparse coding for image annotation
Computer Vision and Image Understanding
Hi-index | 0.00 |
Learning based semantic video annotation is a promising approach for enabling content-based video search. However, severe difficulties, such as insufficiency of training data and curse of dimensionality, are frequently encountered. This paper proposes a novel unified scheme, Optimized Multi-Graph-based Semi-Supervised Learning (OMG-SSL), to simultaneously attack these difficulties. Instead of only using a single graph, OMG-SSL integrates multiple graphs into a regularization and optimization framework to sufficiently explore their complementary nature. We then show that various crucial factors in video annotation, including multiple modalities, multiple distance metrics, and temporal consistency, in fact all correspond to different correlations among samples, and hence they can be represented by different graphs. Therefore, OMG-SSL is able to simultaneously deal with these factors within a unified framework. Experiments on the TRECVID benchmark demonstrate the effectiveness of our proposed approach.