Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Kernel k-means: spectral clustering and normalized cuts
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
Relevance feedback for image retrieval in structured multi-feature spaces
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A string matching approach for visual retrieval and classification
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Spatio-temporal pyramid matching for sports videos
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
A distance measure for repeated takes of one scene
The Visual Computer: International Journal of Computer Graphics
Rushes Video Parsing Using Video Sequence Alignment
CBMI '09 Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
Video event classification using string kernels
Multimedia Tools and Applications
Unsupervised summarization of rushes videos
Proceedings of the international conference on Multimedia
Learning Pedestrian Trajectories with Kernels
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A feature sequence kernel for video concept classification
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
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Organizing and visualizing video collections containing a high number of near duplicates is an important problem in film and video post-production. While kernels for matching sequences of feature vectors have been used e.g. for classification of video segments, kernel-based methods have not yet been applied to matching near duplicate video segments. In this paper we survey the application of six sequence-based kernels to clustering near duplicate video segments using kernel k -means and hierarchical clustering, and the application of kernel PCA for generating content visualizations for browsing. Evaluation on the TRECVID 2007 BBC rushes data set shows that the results of the kernel based methods are comparable to other approaches for matching near duplicates, eliminating differences between dynamic time warping and string matching. These results show that hierarchical clustering outperforms kernel k -means. We also show that well-arranged visualizations of both single- and multi-view content sets can be obtained using kernel PCA.