DESIGN AND EVALUATION OF AN EFFECTIVE AND EFFICIENT VIDEO COPY DETECTION SYSTEM

被引:0
|
作者
Natsev, Apostol [1 ]
Hill, Matthew [1 ]
Smith, John R. [1 ]
机构
[1] IBM Corp, Thomas J Watson Res Ctr, Hawthorne, NY 10532 USA
来源
2010 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2010) | 2010年
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We consider the end-to-end system design and evaluation of an efficient and effective system for video copy detection that bridges the gap between computationally expensive methods and practical applications. We use a compact SIFT-based bag-of-words fingerprint (which we call a SIFTogram), requiring only 1000 bytes per second of video, and show that beyond the descriptor choice, many variables can affect performance. We also consider a complementary color-based descriptor, which contrary to popular recent belief, performs better than SIFTogram on some transforms. We emphasize robustness with respect to the most common transformations on content sharing sites, and report a 99.3% detection rate with 0 false alarms on one such transform category from a standardized evaluation. We perform an evaluation of the system using two TRECVID benchmark datasets, and examine the trade-off between speed and accuracy relative to other TRECVID submissions.
引用
收藏
页码:1353 / 1358
页数:6
相关论文
共 50 条
  • [1] Efficient and effective video copy detection based on spatiotemporal analysis
    Chiu, Chih-Yi
    Yang, Cheng-Chih
    Chen, Chu-Song
    ISM 2007: NINTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, PROCEEDINGS, 2007, : 202 - +
  • [2] Efficient Video Copy Detection Using Simple and Effective Extraction of Color Features
    Roopalakshmi, R.
    Reddy, G. Ram Mohana
    ADVANCES IN COMPUTING AND COMMUNICATIONS, PT 4, 2011, 193 : 473 - +
  • [3] An Efficient Video Copy Detection Method Based on Video Signature
    Cao, Zheng
    Zhu, Ming
    2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 855 - +
  • [4] A Fast and Effective Preprocessing Method for Video Copy Detection
    Li, Jun
    Hong, Shuang
    Ma, Shuchao
    Lu, Menghan
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4033 - 4037
  • [5] Effective Real-Scenario Video Copy Detection
    Zhang, Yue
    Zhang, Xinxiang
    2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 3951 - 3956
  • [6] Compact CNN Based Video Representation for Efficient Video Copy Detection
    Wang, Ling
    Bao, Yu
    Li, Haojie
    Fan, Xin
    Luo, Zhongxuan
    MULTIMEDIA MODELING (MMM 2017), PT I, 2017, 10132 : 576 - 587
  • [7] Spatioternporal sequence matching for efficient video copy detection
    Kim, C
    Vasudev, B
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2005, 15 (01) : 127 - 132
  • [8] Effective and efficient pixel-level detection for diverse video copy-move forgery types
    Zhong, Jun-Liu
    Gan, Yan-Fen
    Vong, Chi-Man
    Yang, Ji-Xiang
    Zhao, Jing-Hong
    Luo, Jia-Hua
    Pattern Recognition, 2022, 122
  • [9] Effective and efficient pixel-level detection for diverse video copy-move forgery types
    Zhong, Jun-Liu
    Gan, Yan-Fen
    Vong, Chi-Man
    Yang, Ji-Xiang
    Zhao, Jing-Hong
    Luo, Jia-Hua
    PATTERN RECOGNITION, 2022, 122
  • [10] Efficient histogram-based indexing for video copy detection
    Chiu, Chih-Yi
    Wang, Jenq-Haur
    Chang, Hung-Chi
    ISM WORKSHOPS 2007: NINTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA - WORKSHOPS, PROCEEDINGS, 2007, : 265 - +