Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
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
Correlative multilabel video annotation with temporal kernels
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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
A distance measure for repeated takes of one scene
The Visual Computer: International Journal of Computer Graphics
Video event classification using string kernels
Multimedia Tools and Applications
Relative Margin Support Tensor Machines for gait and action recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
IEEE Transactions on Circuits and Systems for Video Technology
Sequence-based kernels for online concept detection in video
AIEMPro '11 Proceedings of the 2011 ACM international workshop on Automated media analysis and production for novel TV services
Sequence kernels for clustering and visualizing near duplicate video segments
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
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Kernel methods such as Support Vector Machines are widely applied to classification problems, including concept detection in video. Nonetheless issues like modeling specific distance functions of feature descriptors or the temporal sequence of features in the kernel have received comparatively little attention in multimedia research. We review work on kernels for commonly used MPEG-7 visual features and propose a kernel for matching temporal sequences of these features. The sequence kernel is based on ideas from string matching, but does not require discretization of the input feature vectors and deals with partial matches and gaps. Evaluation on the TRECVID 2007 high-level feature extraction data set shows that the sequence kernel clearly outperforms the radial basis function (RBF) kernel and the MPEG-7 visual feature kernels using only single key frames.