MulGraB 2010, SIP 2010: Signal Processing and Multimedia pp 245-252 | Cite as
Real-Time Adaptive Shot Change Detection Model
Abstract
Shot change detection is the main technique in the video segmentation which is required real-time processing and automatical processing in hardware. In this paper, we propose the SCD model for real-time shot change detection in such as PMPs and cellular phones. The real-time SCD model determines shot change detection by comparing the feature value of current frame and a mean feature value on variable reference block. Proposed method can be used independently from the feature value of frame, can set automatic threshold using a mean feature value on variable reference block. We obtained better detection ratio than the conventional methods maximally by precision 0.146, recall 0.083, F1 0.089 in the experiment with the same test sequence. Therefore, our proposing algorithm will be helpful in searching video data on portable media player such as PMPs and cellular phones.
Keywords
Shot Change Detection Real-time SCD Model Adaptive Threshold Variable Reference BlockPreview
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References
- 1.Cotsaces, C., Nikolaidis, N., Pitas, I.: Video Shot Detection and Condensed Representation. IEEE Signal Processing Magazine 23, 28–37 (2006)CrossRefGoogle Scholar
- 2.Smoliar, S.W., Zhang, H.J.: Content-Based Video Indexing and Retrieval. IEEE Multimedia 1(2), 62–72 (2006)CrossRefGoogle Scholar
- 3.Yu, J., Srinath, M.D.: An dfficient method for scene cut detection. Pattern Recognition Letters 22, 1379–1391 (2001)CrossRefMATHGoogle Scholar
- 4.Kim, J.R., Suh, S.J., Sull, S.H.: Fast scene change detection for personal video recorder. IEEE Transaction on Consumer Electronics 49, 683–688 (2003)CrossRefGoogle Scholar
- 5.Zhang, H.J., Kankamhalli, A., Smoliar, S.W.: Automatic partitioning of full-motion video. In: ACM Multimedia Systems, New York (1993)Google Scholar
- 6.Hampapur, A., Jain, R., Weymouth, T.: Digital Video Segmentation. In: Proc. ACM Multimedia 1994, pp. 357–364 (1994)Google Scholar
- 7.Shahraray, B.: Scene Change Detection and Content-Based Sampling of Video Sequences. In: Proc. in Digital Video Compression: Algorithms and Technologies, vol. SPIE-2419, pp. 2–13 (1995)Google Scholar
- 8.Xiong, W., Lee, J.C.M., Shen, D.G.: Net Comparison: An Adaptive and Effective Method for Scene Change Detection. In: SPIE (1995)Google Scholar
- 9.Lee, J.C.M., Li, Q., Xiong, W.: Automaeiv and Dynamic Video Manipulation. Research and Development in Information Retrieval (1998)Google Scholar
- 10.Tonomura, Y.: Video handing based on structured information for hypermedia system. In: Proc. ACM International Conference Multimedia Information Systems, pp. 333–344 (1991)Google Scholar
- 11.Nagasaka, A., Tanaka, Y.: Automatic Video Indexing and Full Video Search For Object Appearances. In: Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II, pp. 113–127 (1991)Google Scholar
- 12.Ueda, H., Miyatake, T., Yoshizawa, S.: ImPACT: An Interactive Natural-motion-picture Dedicated Multimedia Authoring System. In: Proceedings of CHI, pp. 343–350 (1991)Google Scholar
- 13.Gargi, U., Kasturi, R., Antani, S.: Evaluation of video sequence indexing and hierarchical video indexing. In: Proc. SPIE Conf. Storage and Retrieval in Image and Video Databases, pp. 1522–1530 (1995)Google Scholar
- 14.Shin, S.Y., Sheng, G.R., Park, K.H.: A Scene Change Detection Scheme Using Local x^2-Test on Telematics. In: International Conference on Hybrid Information Technology, vol. 1, pp. 588–592 (2006)Google Scholar
- 15.Meng, J., Juan, Y., Chang, S.F.: Scene change detection in a MPEG compressed video sequence. In: Digital Video Compression: Algorithms and Technologies, vol. SPIE-2419, pp. 14–25 (1995)Google Scholar
- 16.Yeo, B., Liu, B.: Rapid scene analysis on compressed video. IEEE Transactions on Circuits and Systems for Video Technology 5(6), 533–540 (1995)CrossRefGoogle Scholar
- 17.Fernando, W.A.C., Canagarajah, C.N., Bull, D.R.: scene change detection algorithms for content-based video indexing and retrieval. Electronics and Communication Journal 13(3), 117–126 (2001)Google Scholar
- 18.Seong, Y.K., Choi, Y., Park, J., Choi, T.: A hard disk drive embedded digital satellite receiver with scene change detector for video indexing. IEEE Transactions on Consumer Electronics 48(3), 776–782 (2002)CrossRefGoogle Scholar
- 19.Sethi, I.K., Patal, N.: A statistical approach to scene change detection. In: Storage and Retrieval for Image and Video Databases III, vol. SPIE-2420, pp. 329–338 (1995)Google Scholar
- 20.Gargi, U., Kasturi, R., Strayer, S.H.: Performance Characterization of Video-Shot -Change Detection Methods. IEEE Transactions on Circuits and Systems for Video Technology 10(1), 1–13 (2000)CrossRefGoogle Scholar
- 21.Bescos, J., Cisneros, G., Menendez, J.M.: Multidemensional Comparison of Shot Detection Algorithms. In: Proceedings of International Conference on Image Processing, vol. 2, pp. II-404–II-404 (2002)Google Scholar
- 22.Bescos, J., Cisneros, G., Menendez, J.M., Cabrera, J.: A unified model for techniques on video-shot transition detection. IEEE transaction on Multimedia 7, 293–307 (2005)CrossRefGoogle Scholar
- 23.Cheng, Y., Yang, X., Xu, D.: A Method for Shot Boundary Detection With Automatic Threshold. Proceedings of IEEE TENCON 1, 582–585 (2002)Google Scholar
- 24.Ko, K.C., Rhee, Y.W.: Video Segmentation using the Automated Threshold Decision Algorithm. KSCI Journal 10(6), 65–73 (2005)Google Scholar
- 25.Boccignone, G., Chinaese, A., Moscato, V., Picariello, A.: Foveated Shot Detection for Video Segmentation. IEEE Transactions on Circuits and Systems for Video Technology 15, 365–377 (2005)CrossRefGoogle Scholar