Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
Trajectory representation using Gabor features for motion-based video retrieval
Pattern Recognition Letters
A Novel Approach to Spatio-Temporal Video Analysis and Retrieval
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
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IEEE Transactions on Circuits and Systems for Video Technology
Common Motion Map Based on Codebooks
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
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IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Multimedia
Camera motion analysis towards semantic-based video retrieval in compressed domain
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
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ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Subtrajectory-based video indexing and retrieval
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Annotated free-hand sketches for video retrieval using object semantics and motion
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Extracting representative motion flows for effective video retrieval
Multimedia Tools and Applications
Learning to rank biological motion trajectories
Image and Vision Computing
Recognizing jump patterns with physics-based validation in human moving trajectory
Journal of Visual Communication and Image Representation
International Journal of Computer Vision
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This paper proposes a hybrid motion-based video retrieval system to retrieve desired videos from video databases through trajectory matching. The hybrid method includes a sketch-based scheme and a string-based one to analyze and index a trajectory with more syntactic meanings. First of all, this method uses a sampling technique to extract a set of control points from each trajectory as features. Then, the sketch-based method uses a curve fitting technique to interpolate some missed data in this set of control points. Then, the visual distance between any two trajectories can be directly measured by comparing their position data. The visual distance is good in solving the problem of translation-invariant trajectory matching but poor in solving the problem of partial trajectory matching. Therefore, in addition to the visual distance, the hybrid method uses the string-based scheme to compare any two trajectories according to their syntactic meanings. With the help of the syntactic distance, many impossible candidates can be filtered out in advance and thus the accuracy of video retrieval can be much enhanced. In addition, the problem of partial trajectory matching will become easy to be solved. Thus, even though a partial trajectory is queried, all desired video clips still can be very accurately retrieved. Experimental results have proved the superiority of our proposed method.