Tag-based social image search with visual-text joint hypergraph learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
k-Partite graph reinforcement and its application in multimedia information retrieval
Information Sciences: an International Journal
Robust sparse bounding sphere for 3D face recognition
Image and Vision Computing
Hyperspectral image classification with hypergraph modelling
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
View-based 3D object retrieval by bipartite graph matching
Proceedings of the 20th ACM international conference on Multimedia
Multi-pose 3D face recognition based on 2D sparse representation
Journal of Visual Communication and Image Representation
Instance-Level landmark labeling via multi-layer superpixels
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Combining SIFT and global features for web image classification
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Multimedia encyclopedia construction by mining web knowledge
Signal Processing
3D face recognition using local binary patterns
Signal Processing
ε-Isometry based shape approximation for image content representation
Signal Processing
A probabilistic 3d model retrieval system using sphere image
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
A data driven depth estimation for 3D video conversion
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Advertising object in web videos
Neurocomputing
SalientShape: group saliency in image collections
The Visual Computer: International Journal of Computer Graphics
A novel 3D model retrieval approach using combined shape distribution
Multimedia Tools and Applications
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The explosively increasing 3-D objects make their efficient retrieval technology highly desired. Extensive research efforts have been dedicated to view-based 3-D object retrieval for its advantage of using 2-D views to represent 3-D objects. In this paradigm, typically the retrieval is accomplished by matching the views of the query object with the objects in database. However, using all the query views may not only introduce difficulty in rapid retrieval but also degrade retrieval accuracy when there is a mismatch between the query views and the object views in the database. In this work, we propose an interactive 3-D object retrieval scheme. Given a set of query views, we first perform clustering to obtain several candidates. We then incrementally select query views for object matching: in each round of relevance feedback, we only add the query view that is judged to be the most informative one based on the labeling information. In addition, we also propose an efficient approach to learn a distance metric for the newly selected query view and the weights for combining all of the selected query views. We conduct experiments on the National Taiwan University 3D Model database, ETH 3D object collection, and Shape Retrieval Content of Non-Rigid 3D Model, and results demonstrated that our approach not only significantly speeds up the retrieval process but also achieves encouraging retrieval performance.