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Duplicate video detection for large-scale multimedia

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Abstract

Since rapid growth of IT technologies, the use of multimedia data such as image and videos are explosively increasing. It is an important aspect of not only for users but also researchers. Duplicate images and videos are rapidly increasing and it causes difficulties in retrieval and management as well. It also causes copyright problems. In this paper, we discus prior duplicate video detection techniques and overcome previous research problems using block histogram and dynamic matching approach duplicate video detection method. We improved excessive abstract of previous block mean-value based feature extraction method to be robust in various video transformations. Also, we created feature vector of timely histogram by unit of blocks to reflect video features. We proposed dynamic matching algorithm to match videos which is suitable for large-scale video data. To evaluate our proposal, we used VIREO video datasets which is provided by Hong Kong City University and Carnegie Mellon University and MUSCLE-VCD-2007 dataset which is provided by INRIA. Our method showed 90 % of accuracy on duplicate video detection. Our proposed method showed robustness especially in various video transformations. Also, we tested video clustering test to prove our method and dynamic matching method showed 5 times fast compare to existing method which is suitable for real-time and large-scale video detection process.

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References

  1. Chen L, Stentiford FWM (2008) Video sequence matching based on temporal ordinal measurement. Pattern Recogn Lett 29(13):1824–1831

    Article  Google Scholar 

  2. Douze M, Jegou H, Schmid C (2010) An image-based approach to video copy detection with spatio-temporal post-filtering. IEEE Trans Multimedia 12(4):257–266

    Article  Google Scholar 

  3. Fassold H, Rosner J (2015) A real-time GPU implementation of the SIFT algorithm for large-scale video analysis tasks. In: Proc. of SPIE9400, Real-Time Image and Video Processing 2015. doi:10.1117/12.2083201

  4. Forecast (2011) Cisco visual networking index: forecast and methodology. Cisco Public Information

  5. Hai NCT, Kim D-Y, Park H-R (2012) Texture comparison with an orientation matching scheme. J Inf Process Syst 8(3):389–398

    Article  Google Scholar 

  6. Huang Z, Shen HT, Shao J, Cui B, Zhou X (2010) Practical online near-duplicate subsequence detection for continuous video streams. IEEE Trans Multimedia 9(2):386–398

    Article  Google Scholar 

  7. Husain F, Dellen B, Torras C (2015) Consistent depth video segmentation using adaptive surface models. IEEE Trans Cybern 45(2):266–278

    Article  Google Scholar 

  8. Joly A, Buisson O, Frelicot C (2007) Content-based copy retrieval using distortion-based probabilistic similarity search. IEEE Trans Multimedia 9(2):293–306

    Article  Google Scholar 

  9. Kim Y-T, Chua T-S (2005) Retrieval of news video using video sequence matching. In: Proc. if the 11th International Multimedia Modelling Conference, pp. 68–75

  10. Kim J, Nam J (2009) Content-based video copy detection using spatio-temporal compact feature. In: Proc. of the 11th International Conference on Advanced Communication Technology, pp. 1667–1671

  11. Kim C, Vasudev B (2005) Spatiotemporal sequence matching for efficient video copy detection. IEEE Trans Circ Syst Video Technol 15(1):127–132

    Article  Google Scholar 

  12. Laptev I (2005) On space-time interest points. Int J Comput Vis 64(2–3):107–123

    Article  Google Scholar 

  13. Law-To J, Buisson O, Gouet-Brunet V, Boujemaa N (2006) Robust voting algorithm based on labels of behavior for video copy detection. In: Proc. of the 14th Annual ACM International Conference on Multimedia, pp. 835–844

  14. Law-To J, Chen L, Joly A, Laptev I (2007) Video copy detection: a comparative study. In: Proc. of the 6th ACM International Conference on Image and Video Retrieval, pp. 371–378

  15. Law-To J, Joly A, Boujemaa N (2007) Muscle-VCD-2007: a live benchmark for video copy detection.

  16. Leon G, Kalva H, Furth B (2009) Video identification using video tomography. In: Proc. of IEEE Internatioinal Conference on Multimedia and Expo, pp. 1030–1033

  17. Liu A, Liu T, Shahraray B (2009) AT&T research at TRECVID 2009 content-based copy detection. TREC Video Retrieval Evaluation

  18. Liu D, Zhihia Y (2015) A computationally efficient algorithm for large scale near-duplicate video detection. Lect Notes Comput Sci 8936:481–490

    Article  Google Scholar 

  19. Maani E, Tsaftaris SA, Katsaggelos AK (2008) Local feature extraction for video copy detection in a database. In: Proc. IEEE International Conference on Image Processing, pp. 1716–1719

  20. Mauceri C, Suma EA, Finkelstein S, Souvenir R (2015) Evaluating visual query methods for articulated motion video search. Int J Human-Comput Stud 77:10–22

    Article  Google Scholar 

  21. Ngo C-W, Pong T-C, Zhang H-J (2002) On clustering and retrieval of video shots through temporal slices analysis. IEEE Trans Multimedia 4(4):446–458

    Article  Google Scholar 

  22. Pan R, Guandong X, Bin F, Dolog P, Wang Z, Leginus M (2012) Improving recommendations by the clustering of tag neighbors. J Converg 3(1):13–20

    Google Scholar 

  23. Smeaton AF, Over P, Doherty AR (2010) Video shot boundary detection: seven years of TRECVID activity. Comput Vis Image Underst 114(4):411–418

    Article  Google Scholar 

  24. Valêncio C, Oyama F, Scarpelini Neto P, Colombini A, Cansian A, de Souza R, Corrêa P (2012) MR-Radix: a multi-relational data mining algorithm. Human-Centric Comput Inf Sci 2(4) doi:10.1186/2192-1962-2-4

  25. Wu X, Hauptmann AG, Ngo C-W (2007) Practical elimination of near-duplicates from web video search. In: Proc. of the 15th International Conference on Multimedia, pp. 218–227

  26. Wu Z, Heuang Q, Jiang S (2009) Robust copy detection by mining temporal self similarities. In: Proc. of the IEEE International Conference on Multimedia and Expo, pp. 554–557

  27. Wu X, Ngo C-W, Hauptmann AG (2010) VIREO: near-duplicate web video dataset. http://vireo.cs.cityu.edu.hk/webvideo

  28. Yeh M-C, Cheng K-T (2009) Video copy detection by fast sequence matching. In: Proc. of the ACM International Conference on Image and Video Retrieval. doi:10.1145/1646396.1646449

  29. Yeh M-C, Cheng K-T (2009) A compact, effective descriptor for video copy detection. In: Proc. of the 17th ACM International Conference on Multimedia, pp. 635–636

  30. Yuan J, Duan L-Y, Tian Q, Xu C (2004) Fast and robust short video clip search using an index structure. In: Proc. of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp. 61–81

  31. Zhou X, Zhou X, Chen L, Bouguettaya A, Xiao N, Tayler JA (2009) An efficient near-duplicate video shot detection method using shot-based interest points. IEEE Trans Multimedia 11(5):879–891

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Yonsei University, 50 Sungsan Road, Seodaemun, Seoul, South Korea

    Woogyoung Jun & Yillbyung Lee

  2. Department of Computer Engineering, Chungbuk National University, 52 Naesudong Road, Heungduk, Cheongju, South Korea

    Byoung-Min Jun

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  1. Woogyoung Jun
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  2. Yillbyung Lee
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  3. Byoung-Min Jun
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Correspondence to Byoung-Min Jun.

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Jun, W., Lee, Y. & Jun, BM. Duplicate video detection for large-scale multimedia. Multimed Tools Appl 75, 15665–15678 (2016). https://doi.org/10.1007/s11042-015-2724-0

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  • DOI: https://doi.org/10.1007/s11042-015-2724-0

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