Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Negative pseudo-relevance feedback in content-based video retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Negative Samples Analysis in Relevance Feedback
IEEE Transactions on Knowledge and Data Engineering
Random Sampling SVM Based Soft Query Expansion for Image Retrieval
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-temporal pyramid matching for sports videos
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Spatio-temporal shape contexts for human action retrieval
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Feature detector and descriptor evaluation in human action recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Action retrieval with relevance feedback on YouTube videos
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Relevance feedback for real-world human action retrieval
Pattern Recognition Letters
Human action recognition using pyramid vocabulary tree
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback
IEEE Transactions on Pattern Analysis and Machine Intelligence
An active learning framework for content-based information retrieval
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Sparse transfer learning for interactive video search reranking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Recognizing Cartoon Image Gestures for Retrieval and Interactive Cartoon Clip Synthesis
IEEE Transactions on Circuits and Systems for Video Technology
Information Sciences: an International Journal
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Due to the increasing amount of video data available in various databases, on the Internet and elsewhere, new methods of managing these data are required, leading to the development of content-based video retrieval systems. We explore several recently developed action representation and information retrieval techniques in a human action retrieval system. These techniques include various means of local feature extraction; soft-assignment clustering; Bag-of-Words, vocabulary guided and spatio-temporal pyramid matches for action representation; SVMs and ABRS-SVMs for relevance feedback. Successful application of relevance feedback in particular will result in far more practical systems. We evaluate the performance of several combinations of the above techniques in three realistic action datasets: UCF Sports, UCF YouTube and HOHA2.