Detection and classification of wipe transitions in sport videos in presence of object motion

  • Authors

    • Salim Chavan Wainganga College of Engineering and Management, Nagpur
    • M Narayana Vardhaman College of Engineering, Shamshabad, Hyderabad
    • L Koteswara Rao, Vardhaman College of Engineering, Shamshabad, Hyderaba
    2018-04-13
    https://doi.org/10.14419/ijet.v7i2.9111
  • Wipe Transition Effect, DWT, Camera Motion, Object Motion, LT.
  • Transition detection is the necessary step in retrieval and investigation of videos on the basis of contents. Since last two decades, most of the researchers are involved in developing algorithms for detection of gradual transitions. However, the features of all gradual transitions are different and hence this issue still needs to be addressed precisely. After identifying this issue, an integrated shot boundary detection method is proposed in this paper. Wipe transition is the effect which is mostly used in the video making industries .Since there are different types of wipe transitions, it becomes very difficult to detect such transitions. Due to complexity in detection of wipes due to noise, object and camera motion earlier methods have less focus on this issue. In this paper an efficient wipe detection method is presented which gives better results even in the presence of object and camera movements.

  • References

    1. [1] Zhe-Ming Lu,â€Fast video shot Boundary Detection Based on SVD and Pattern matchingâ€, image processing ,IEEE on (Volume 22,issue : 12) September 2013

      [2] Ehsan Amini, Somayyeh Jafarali Jassbi, “A Quick Algorithm to Search and Detect Video Shot Changesâ€, “International Journal of Computer Applications, Volume 115 - No. 3, April 2015â€.

      [3] Salim Chavan, Sadik Fanan, Dr. Sudhir Akojwar “An Efficient Method for Detection of Wipes in Presence of Object and Camera Motionâ€, “International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Volume 1 Issue 8, September 2014â€.

      [4] Shan Li, Moon chuen Lee , “Effective Detection of Various Wipe Transitionsâ€,†IEEE transactions on circuits and systems for video technology, vol. 17, no. 6, June 2007†https://doi.org/10.1109/TCSVT.2007.896621.

      [5] V.Kumthekar, Prof. J.K. Patil “Key frame extraction using color histogram methodâ€, International Journal of Scientific Research Engineering & Technology (IJSRET) Volume 2 Issue 4 pp 207-214 , ISSN 2278 – 0882, july- 2013

      [6] M. Wu, W. Wolf, and B. Liu, “An algorithm for wipe detection,†in Proc. ICIP, 1998, pp. 893–897.

      [7] Lienhart R., “Reliable transition detection in videos: a survey and practitioner’s guideâ€, Int. J. Image Graph, vol. 1, no. 3, pp. 469–486, 2001. https://doi.org/10.1142/S021946780100027X.

      [8] C.W. Ngo, T.-C. Pong, and R. T. Chin, “Video partitioning by temporal slice coherency,†IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 8, pp. 941–953, Aug. 2001. https://doi.org/10.1109/76.937435.

      [9] U. Naci and A. Hanjalic, “TU Delft at TRECVID 2005: Shot boundary detection,†in Proc. TRECVID 2005 Workshop, 2005

      [10] R. Zabih, J. Miller, and K. Mai. A Feature-Based Algorithm for Detecting and Classifying Scene Breaks. Proc.ACM Multime- dia 95, San Francisco, CA, pp. 189-200, Nov. 1995. https://doi.org/10.1145/217279.215266.

      [11] Robert A. Joyce, Bede Liu, "Temporal Segmentation of Video Using Frame and Histogram Space", "IEEE transactions on multimedia, vol. 8, no. 1, february 2006" https://doi.org/10.1109/TMM.2005.861285.

      [12] Alattar A.M., “Wipe scene change detector for segmenting uncom-pressed video sequencesâ€,†Circuits and Systems, 1998. IS- CAS '98. Proceedings of the 1998 IEEE International Symposium on (Volume:4 )â€

      [13] K. Warhade , S.N. Merchant , U.B. Desai, “Effective algorithm for detecting various wipe patterns and discriminating wipe from object and camera motionâ€,†Image Processing, IET (Volume:4 , Issue: 6 ) 2010â€

      [14] Bing Han, Hongbing Ji, Xinbo GAO, “A 3D wavelet and motion vector based method for wipe transition detectionâ€,†Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference , 2004â€

      [15] W.A.C. Fernando, C.N. Canagarajah,D.R.Bull, “Wipe scene change detection in video sequences†,†Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference†https://doi.org/10.1109/ICIP.1999.817120.

      [16] Kwang-deok Seo, Seong Jun Park, and Soon-heung Jung, “Video Partitioning by Temporal Slice Coherencyâ€, “IEEE Transac- tions on Consumer Electronics, Vol. 55, No. 2, MAY 2009â€

      [17] Drew M. S., Li Z-N, and Zhang X., “Video dissolve and wipe detection via spatio-temporal images of chromatic histogram differencesâ€, In Proc. IEEE Int. Conf. Image Process, vol. 3, pp. 929–932, 2000. https://doi.org/10.1109/ICIP.2000.899609.

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  • How to Cite

    Chavan, S., Narayana, M., & Koteswara Rao, L. (2018). Detection and classification of wipe transitions in sport videos in presence of object motion. International Journal of Engineering & Technology, 7(2), 536-539. https://doi.org/10.14419/ijet.v7i2.9111