Abstract
With the increasing use and availability of digital video, shot boundary detection, as a fundamental step in automatic video content analysis and retrieval, has received extensive attention in recent years. But the problem of detecting gradual transitions such as fades, especially in the compressed domain, has yet to be solved.
In this paper, a new robust compressed domain fade detection method is proposed, which is based on the luminance weighting factors available at slice level in H.264 compressed video. Simplicity and working directly in the H.264 compressed domain with high precision and recall are the main advantages of the novel algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Truong, B.T., Dorai, C., Venkatesh, S.: Improved Fade and Dissolve Detection for Reliable Video Segmentation. In: Proc. International Conference on Image Processing, Vancouver, BC, Canada, vol. 3, pp. 961–964 (2000)
Calic, J., Izquierdo, E.: Towards Real-Time Shot Detection in the MPEG-Compressed Domain. In: Proc. of the Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Finland, pp. 1390–1399 (2001)
Zheng, W., Yuan, J., Wang, H., Lin, F., Zhang, B.: A Novel Shot Boundary Detection Framework. In: Proc. of VCIP: Visual Communications and Image Processing, Bellingham, WA, vol. 5960, pp. 410–420 (2005)
Hashimah, P.N., Gao, L., Qahwaji, R., Jiang, J.: An Improved Algorithm for Shot Cut Detection. In: Proc. of VCIP: Visual Communications and Image Processing, Bellingham, WA, vol. 5960, pp. 1534–1541 (2005)
Truong, B.T., Dorai, C., Venkatesh, S.: New Enhancements to Cut, Fade, and Dissolve Detection Processes in Video Segmentation. In: Proc. of the 8th ACM international conference on Multimedia, Marina del Rey, California, United States, pp. 219–227 (2000)
Porter, S., Mirmehdi, M., Thomas, B.: Detection and Classification of Shot Transitions. In: British Machine Vision Conference (BMVC), pp. 73–82 (2001)
Nang, J., Hong, S., Ihm, Y.: An Efficient Video Segmentation Scheme for MPEG Video Stream using Macroblock Information. In: Proc. of the 7th ACM international conference on Multimedia, Orlando, Florida, United States, pp. 23–26 (1999)
Chau, W.S., Oscar, C.A., Chanc, T.W., Chongd, T.S.: Efficient and Reliable Scene Change Detection in MPEG Compressed Video. In: Proc. of SPIE: Visual Communications and Image Processing, Bellingham, WA, vol. 5960, pp. 1542–1549 (2005)
Hoashi, K., Sugano, M., Naito, M., Matsumoto, K., Sugaya, F., Nakajima, Y.: Shot Boundary Determination on MPEG Compressed Domain and Story Segmentation Experiments for TRECVID 2004. In: TREC Video Retrieval Evaluation Forum, Japan (2004)
Fernando, W.A.C., Canagarajah, C.N., Bull, D.R.: Fade and Dissolve Detection in Uncompressed and Compressed Video Sequences. In: Proc. International Conference on Image Processing (ICIP), Kobe, Japan, vol. 3, pp. 299–303 (1999)
Lienhart, R.: Reliable Transition Detection in Videos: A Survey and Practitioner’s Guide. International Journal of Image and Graphics 1, 469–486 (2001)
Ajay, D., Hiroshi, I., Huifang, S., Tommy, P.: Fade-in/out Scene Change Detection in the MPEG-1/2/4 Compressed Video Domain. In: Proc. SPIE Storage and Retrieval for Media Databases, vol. 3972, pp. 518–522 (2000)
Liu, Y., Zeng, W., Wang, W., Gao, W.: A Novel Compressed Domain Shot Segmentation Algorithm on H.264/AVC. In: ICIP: International Conference on Image Processing, vol. 4, pp. 2235–2238 (2004)
Boyce, J.M.: Weighted Prediction in the H.264/MPEG AVC Video Coding Standard. In: Proc. of the 2004 International Symposium on Circuits and Systems, ISCAS 2004, vol. 3, pp. 789–792 (2004)
Richardson, L.E.G.: H.264 and MPEG-4 Video Compression: Video Coding for Next Generation. John Wiley & Sons, Chichester (2003)
Cernekova, Z., Nikou, C., Pitas, I.: Entropy Metrics Used for Video Summarization. In: Proc. 18th spring conference on Computer graphics, New York, USA, pp. 73–82 (2002)
Smeaton, A., Over, P.: TRECVID-2005: Shot Boundary Detection Task Overview (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Damghanian, B., Hashemi, M.R., Akbari, M.K. (2006). A Novel Fade Detection Algorithm on H.264/AVC Compressed Domain. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_117
Download citation
DOI: https://doi.org/10.1007/11949534_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
eBook Packages: Computer ScienceComputer Science (R0)