Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Video Indexing and Retrieval for Archeological Digital Library, CLIOH
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Image Browsing using Hierarchical Clustering
ISCC '99 Proceedings of the The Fourth IEEE Symposium on Computers and Communications
Adaptive color quantization based on perceptive edge protection
Pattern Recognition Letters
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rank-one Projections with Adaptive Margins for Face Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Content-based retrieval of video shot using the-improved nearest feature line method
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Knowledge and Information Systems
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Locally Linear Embedding With High-Order Tensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust color histogram descriptors for video segment retrieval and identification
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
A new key frame representation for video segment retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A web community-based video retrieval method using canonical correlation analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
An integrated aurora image retrieval system: AuroraEye
Journal of Visual Communication and Image Representation
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Shot retrieval based on fuzzy evolutionary aiNet and hybrid features
Computers in Human Behavior
Hi-index | 0.10 |
Video retrieval and indexing research aims to efficiently and effectively manage very large video databases, e.g., CCTV records, which is a key component in video-based object and event analysis. In this paper, for the purpose of video retrieval, we propose a novel method to represent video data by developing an optical flow tensor (OFT) and incorporating hidden Markov models (HMMs). As video is content-sensitive and normally carries rich motion information of objects, optical flow field is first employed to estimate such motion. Then, a shot HMMs tree is built to model video clips in different levels in a database. Experimental results demonstrate that the newly developed method inherits advantages of both optical flow and HMMs in video representation. With the newly developed video representation, in video retrieval and indexing tasks, no need to exhaustively compare a query video shot with all video shot records in the database. Moreover, the novel representation method works well when linear discriminant analysis (LDA) is utilized to reduce the feature dimensionality and further speed up the retrieval procedure.