Actor-independent action search using spatiotemporal vocabulary with appearance hashing

Pattern Recognition

Volumn 44, Issue 3, 2011, Pages 624-638

  Ji, Rongrong ^a   Yao, Hongxun ^a   Sun, Xiaoshuai ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

3D SIFT; Action retrieval; Appearance hashing; Attention Shift; Dynamic time warping; Spatiotemporal vocabulary; Video search

Indexed keywords

3D-SIFT; ACTION RETRIEVAL; APPEARANCE HASHING; ATTENTION SHIFT; DYNAMIC TIME WARPING; SPATIOTEMPORAL VOCABULARY; VIDEO SEARCH;

THREE DIMENSIONAL;

EID: 78649330520     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.08.022     Document Type: Article

References (46)

1. X. Sun, R. Ji, H. Yao, T. Liu, P. Xu, and X. Liu Place retrieval with graph-view model ACM Conference on Multimedia Information Retrieval 2008
2. Y. Gao, T. Wang, and J. Li Cast indexing for videos by NCuts and page ranking ACM Conference on Content-based Image and Video Retrieval 2007
3. R. Ji, X. Sun, H. Yao, P. Xu, Attention-driven action retrieval using 3D-SIFT with dynamic time warping, ACM Multimedia, 2008.
4. S.-F. Chang, W. Chen, H. Men, H. Sundaram, and D. Zhong A fully automated content-based video search engine supporting spatio-temporal queries IEEE Transactions on Circuits and Systems for Video Technology 8 5 1998 602 615
5. S.-C. Cheung, and A. Zakhor Fast similarity search and clustering of video sequences on the world-wide-web IEEE Transactions on Multimedia 7 3 2004 524 537
6. C. Bom, S. Berchtold, and D.A. Keim Searching in high-dimensional spaces: index structures for improving the performance of multimedia databases ACM Computing Survey 33 3 2001 322 373
7. A. Hampapur, R. Bolle, Comparison of sequence matching techniques for video copy detection, in: International Conference on Storage and Retrieval for Media Databases, 2002, pp. 194201.
8. J. Sivic, A. Zisserman, Video Google: a text retrieval approach to object matching in videos, in: International Conference on Computer Vision, vol. 2, 2003, pp. 14701477.
9. D.G. Lowe Distinctive image features form scale-invariant keypoints International Journal of Computer Vision 2004
10. D. Nister, and H. Stewenius Scalable recognition with a vocabulary tree Computer Vision and Pattern Recognition 2006
11. G. Schindler, M. Brown, and R. Szeliski City-scale location recognition Computer Vision and Pattern Recognition 2007
12. R. Ji, X. Xie, H. Yao, and W.-Y. Ma Hierarchy vocabulary optimization for effective and transferable retrieval Computer Vision and Pattern Recognition 2009
13. A. Joly, C. Frelicot, and O. Buisson Robust content-based video copy identification in a large reference database ACM Conference on Content-based Image and Video Retrieval 2003 511 516
14. A. Joly, O. Buisson, and C. Frlicot Content-based copy detection using distortion-based probabilistic similarity search IEEE Transactions on Multimedia 9 2 2007 293 306
15. H.T. Shen, X. Zhou, Z. Huang, J. Shao, and X. Zhou UQLIPS: a real-time near-duplicated video clip detection system VLDB 2007 1374 1377
16. T.K. Shih, C.-S. Wang, Y-K. Chiu, Y.-T. Hsin, and C.-H. Huang On automatic action retrieval of martial arts International Conference on Multimedia & Expo 2004
17. V. Ferrari, M. Marin-Jimenez, and A. Zisserman Pose search: retrieving prople using their pose Computer Vision and Pattern Recognition 2009
18. O. Masoud, and N. Papanikolopoulos A method for human action recognition Image and Vision Computing 21 2003 729 743
19. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld Learning realistic human actions from movies Computer Vision and Pattern Recognition 2008
20. A. Yilmaz, and M. Shah Recognizing human actions in videos acquired by uncalibrated moving cameras International Conference on Computer Vision 2005
21. J. Liu, S. Ali, and M. Shah Recognizing human actions using multiple features Computer Vision and Pattern Recognition 2008
22. J. Yuan, Z. Liu, and Y. Wu Discriminative subvolume search for efficient action detection Computer Vision and Pattern Recognition 2009
23. HE. Pashler The Psychology of Attention 1999 MIT Press
24. L. Itti, C. Koch, and E. Niebur A model of saliency-based visual attention for rapid scene analysis Pattern Analysis and Machine Intelligence 20 11 1998 1254 1259
25. W.-H. Cheng, W.-T. Chu, and J.-L. Wu A visual attention based region-of-interest detection IEICE Transactions on Information and Systems E 88-D 7 2005 1578 1586
26. Y. Zhai, M. Shah, Visual attention detection in video sequences using spatiotemporal cues, ACM Multimedia, 2006.
27. S. Li, M.-C. Lee, Efficient spatiotemporal-attention-driven shot matching, ACM Multimedia, 2007.
28. P. Scovanner, S. Ali, M. Shah, A 3-dimensional SIFT descriptor and its application to action recognition, ACM Multimedia, 2007.
29. D.J. Berndt, J. Clifford, Using dynamic time warping to find patterns in time series, Advances in Knowledge Discovery in Databases, AAAI Workshop, 1994, pp. 359370.
30. OpenCV Face Detection, Toolshttp://opencvlibrary.sourceforge.net/ FaceDetection.
31. N. Dalai, B. Triggs, I. Rhone-Alps, F. Montbonnot, Histograms of oriented gradients for human detection, Computer Vision and Pattern Recognition, 2005.
32. x.J. Yuan, J. Li, F. Lin, and B. Zhang A unified shot boundary detection framework based on graph partition model ACM Multimedia 2005 539 542
33. C. Stauffer, and W.E.L. Grimson Adaptive background mixture models for real-time tracking Computer Vision and Pattern Recognition 2 1999 246 252
34. D.J. Fleet, and Y. Wiess Optical Flow Estimation, Handbook of Mathematical Models in Computer Vision 2006 Springer
35. G. Willems, T. Tuytelaars, L. Van Gool, An efficient dense and scale-invariant spatio-temporal interest point detector, in: European Conference on Computer Vision, 2008.
36. Y. Wang, and C.-S. Chua Face recognition from 2D and 3D images using 3D Gabor filters Image and Vision Computing 23 11 2005 1018 1028
37. I. Laptev, T. Lindeberg, Spacetime interest points, in: International Conference on Computer Vision, 2003.
38. Y. Ke, R. Sukthankar, M. Hebert, Efficient visual event detection using volumetric features, in: International Conference on Computer Vision, vol. I, 2005, pp. 166173.
39. A. Oikonomopoulos, I. Patras, and M. Pantic Spatiotemporal salient points for visual recognition of human actions SMCPart B: Cybernetics 36 3 2006 710 719
40. S.F. Wong, R. Cipolla, Extracting spatiotemporal interest points using global information, in: International Conference on Computer Vision, 2007.
41. G. Salton, and C. Buckley Term-weighting approaches in automatic text retrieval Information Processing and Management 24 5 1998 513 523
42. I. Bartolini, P. Ciaccia, and M. Patella WARP: accurate retrieval of shapes using phase of fourier descriptors and time warping distance Pattern Analysis and Machine Intelligence 27 1 2005 142 147
43. A. Galata, N. Johnson, D. Hogg, Learning variable length Markov models of behaviour, Computer Vision and Image Understanding, 2001.
44. R. Ji, X. Xie, H. Yao, W.-Y. Ma, Y. Wu, Vocabulary tree incremental indexing for scalable scene recognition, in: International Conference on Multimedia & Expo, 2008.
45. C. Schuldt, I. Laptev, B. Caputo, Recognizing human actions: a local SVM approach, in: International Conference on Pattern Recognition, 2004.
46. H. Ning, T. Han, D. Walther, M. Liu, T. Huang, Hierarchical spacetime model enabling efficient search for human actions, Circuits and Systems for Video Technology, 2008.