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[3] Mayur Datar, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni. Locality-sensitive hashing scheme based on p￾stable distributions. In SCG, pages 253–262, 2004. [4] Matthijs Douze, Herve Jegou, and Cordelia Schmid. An image-based approach to video copy detection with spatio￾temporal post-filtering. TMM, 12(4):257–266, 2010. [5] Yunchao Gong and Svetlana Lazebnik. Iterative quantiza￾tion: A procrustean approach to learning binary codes. In CVPR, pages 817–824, 2011. [6] Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, N￾ing An, and John Yannis Goulermas. Stochastic multiview hashing for large-scale near-duplicate video retrieval. TMM, 19(1):1–14, 2017. [7] Dong-Chen He and Li Wang. Texture unit, texture spectrum, and texture analysis. TGRS, 28(4):509–512, 1990. [8] Zi Huang, Heng Tao Shen, Jie Shao, Bin Cui, and Xiaofang Zhou. Practical online near-duplicate subsequence detection for continuous video streams. TMM, 12(5):386–398, 2010. [9] Yu-Gang Jiang, Yudong Jiang, and Jiajun Wang. VCDB: A large-scale database for partial copy detection in videos. In ECCV, pages 357–371, 2014. [10] Yu-Gang Jiang and Chong-Wah Ngo. Visual word prox￾imity and linguistics for semantic video indexing and near￾duplicate retrieval. CVIU, 113(3):405–414, 2009. [11] Weihao Kong and Wu-Jun Li. Isotropic hashing. In NeurIPS, pages 1655–1663, 2012. [12] Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, and Yiannis Kompatsiaris. Near-duplicate video re￾trieval by aggregating intermediate CNN layers. In MM, pages 251–263, 2017. [13] Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, and Yiannis Kompatsiaris. Near-duplicate video re￾trieval with deep metric learning. In ICCVW, pages 347–356, 2017. [14] Julien Law-to, Alexis Joly, and Nozha Boujemaa. Muscle￾vcd-2007: a live benchmark for video copy detection, 2007. [15] Wu-Jun Li, Sheng Wang, and Wang-Cheng Kang. Feature learning based deep supervised hashing with pairwise labels. In IJCAI, pages 1711–1717, 2016. [16] Jiajun Liu, Zi Huang, HongYun Cai, Heng Tao Shen, Chong￾Wah Ngo, and Wei Wang. Near-duplicate video retrieval: Current research and future trends. CSUR, 45(4):44:1–44:23, 2013. [17] Lu Liu, Wei Lai, Xian-Sheng Hua, and Shi-Qiang Yang. Video histogram: A novel video signature for efficient we￾b video duplicate detection. In MM, pages 94–103, 2007. [18] Wu Liu, Tao Mei, and Yongdong Zhang. Instant mobile video search with layered audio-video indexing and progres￾sive transmission. TMM, 16(8):2242–2255, 2014. [19] Ajay Kumar Mallick and Sushila Maheshkar. Near-duplicate video retrieval based on spatiotemporal pattern tree. In CVIP, pages 173–186, 2017. [20] Mohammad Norouzi, David J. Fleet, and Ruslan Salakhutdi￾nov. Hamming distance metric learning. In NeurIPS, pages 1070–1078, 2012. [21] Timo Ojala, Matti Pietikainen, and David Harwood. A com- ¨ parative study of texture measures with classification based on featured distributions. PR, 29(1):51–59, 1996. [22] Paul Over, George Awad, Jonathan G. Fiscus, Brian An￾tonishek, Martial Michel, Wessel Kraaij, Alan F. Smeaton, and Georges Quenot. TRECVID 2010 - an overview of the ´ goals, tasks, data, evaluation mechanisms and metrics. In TRECVID workshop, 2010. [23] Sebastien Poullot, Shunsuke Tsukatani, Phuong Anh N- ´ guyen, Herve J ´ egou, and Shin’ichi Satoh. Temporal match- ´ ing kernel with explicit feature maps. In MM, pages 381– 390, 2015. [24] Jer´ ome Revaud, Matthijs Douze, Cordelia Schmid, and ˆ Herve J ´ egou. Event retrieval in large video collections with ´ circulant temporal encoding. In CVPR, pages 2459–2466, 2013. [25] Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, San￾jeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Fei-Fei Li. Imagenet large scale visual recognition chal￾lenge. IJCV, 115(3):211–252, 2015. [26] Michael W. Schwarz, William B. Cowan, and John C. Beat￾ty. An experimental comparison of rgb, yiq, lab, hsv, and opponent color models. TOG, 6(2):123–158, 1987. [27] Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, and Heng Tao Shen. Hashing on nonlinear manifolds. TIP, 24(6):1839–1851, 2015. [28] Karen Simonyan and Andrew Zisserman. Very deep convo￾lutional networks for large-scale image recognition. In ICLR, 2015. [29] Jingkuan Song, Yi Yang, Zi Huang, Heng Tao Shen, and Richang Hong. Multiple feature hashing for real-time large scale near-duplicate video retrieval. In MM, pages 423–432, 2011. [30] Ling Wang, Yu Bao, Haojie Li, Xin Fan, and Zhongxuan Luo. Compact CNN based video representation for efficient video copy detection. In MM, pages 576–587, 2017. [31] Yair Weiss, Antonio Torralba, and Robert Fergus. Spectral hashing. In NeurIPS, pages 1753–1760, 2008. [32] Xiao Wu, Alexander G. Hauptmann, and Chong-Wah N￾go. Practical elimination of near-duplicates from web video search. In MM, pages 218–227, 2007. [33] Chuan Xiao, Wei Wang, Xuemin Lin, Jeffrey Xu Yu, and Guoren Wang. Efficient similarity joins for near-duplicate detection. TODS, 36(3):15:1–15:41, 2011. [34] Dell Zhang, Jun Wang, Deng Cai, and Jinsong Lu. Self￾taught hashing for fast similarity search. In SIGIR, pages 18–25, 2010. [35] Wengang Zhou, Houqiang Li, Richang Hong, Yijuan Lu, and Qi Tian. BSIFT: toward data-independent codebook for large scale image search. TIP, 24(3):967–979, 2015
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