The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Scalable detection of partial near-duplicate videos by visual-temporal consistency
Open accessAbstract
Following the exponential growth of social media, there now exist huge repositories of videos online. Among the huge volumes of videos, there exist large numbers of near-duplicate videos. Most existing techniques either focus on the fast retrieval of full copies or near-duplicates, or consider localization in a heuristic manner. This paper considers the scalable detection and localization of partial near-duplicate videos by jointly considering visual similarity and temporal consistency. Temporal constraints are embedded into a network structure as directed edges. Through the structure, partial alignment is novelly converted into a network flow problem where highly efficient solutions exist. To precisely decide the boundaries of the overlapping segments, pair-wise constraints generated from keypoint matching can be added to the network to iteratively refine the localization result. We demonstrate the effectiveness of partial alignment for three different tasks. The first task links partial segments in full-length movies to videos crawled from YouTube. The second task performs fast web video search, while the third performs near-duplicate shot and copy detection. The experimental result demonstrates the effectiveness and efficiency of the proposed method compared to state-of-the-art techniques.
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“To our knowledge the best results achieved on this dataset are 0.86 and 0.76 respectively for the two criteria, reported in [14]”
From VCDB: A Large-Scale Database for Partial Copy Detection in Videos (2014) · cites this paper as [14]
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“We further benchmark a baseline system on VCDB, which has demonstrated state-of-the-art results in recent copy detection research.”
From VCDB: A Large-Scale Database for Partial Copy Detection in Videos (2014) · cites this paper as [14]
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“The small performance gap is mainly due to the use of different geometric verification methods. An improved version of the WGC was used in [14], while our baseline uses the standard WGC.”
From VCDB: A Large-Scale Database for Partial Copy Detection in Videos (2014) · cites this paper as [14]
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
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Scale & Affine Invariant Interest Point Detectors
Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436
PCA-SIFT: a more distinctive representation for local image descriptors
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Constrained K-means Clustering with Background Knowledge
Wagstaff, K. L., Cardie, C., Rogers, S., & Schrödl, S. (2001) · Cited by 2,469
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
Jegou, H., Douze, M., & Schmid, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_24 · Cited by 1,901
Evaluation campaigns and TRECVid
Smeaton, A. F., Over, P., & Kraaij, W. (2006) · doi:10.1145/1178677.1178722 · Cited by 1,227
An efficient parts-based near-duplicate and sub-image retrieval system
Ke, Y., Sukthankar, R., & Huston, L. (2004) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1027527.1027729 · Cited by 364
Efficient near-duplicate detection and sub-image retrieval
Ke, Y. (2004) · Cited by 342
Practical elimination of near-duplicates from web video search
Wu, X., Hauptmann, A. G., & Ngo, C.-W. (2007) · Proceedings of the 15th ACM international conference on Multimedia · doi:10.1145/1291233.1291280 · Cited by 340
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Items 101–110 of 110
Ngo, C., & Tan, S. (2012) · Image processing series · doi:10.1201/b11716-18
Self-citation(2013) · ACM SIGMultimedia Records · doi:10.1145/2584671.2584675
Learning Video Localization on Segment-Level Video Copy Detection with Transformer
Zhang, C., Liu, J., Zhang, S., Zeng, Z., & Huang, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-44195-0_36
Research on Short Video Copyright Protection by Video Similarity Learning
Chen, R., Li, D., & Jin, X. (2024) · International Conference on Interactive Intelligent Systems and Techniques (IIST) · doi:10.1109/iist62526.2024.00072
FiGVCL: Fine-Grained Benchmark and Method for Video Copy Localization
Luo, W., Liu, Y., Li, B., Hu, W., & Maybank, S. J. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3595625 · Cited by 1
Video Content Plagiarism Detection Using Region-Based Feature Learning
Jin, X., Yan, S., Chen, R., Li, X., Li, D., & Wang, Y. (2025) · Electronics · doi:10.3390/electronics14204011
Video tracking for marketing applications
Allouche, M. (2024) · theses.fr (ABES) · doi:10.70675/15c38db3zfedbz444azb521z49d398c40ff9
VecAlign: Efficient Vector Sequence Alignment for Similarity Search in the Embedding Space
Wang, Z., & Deng, D. (2026) · IEEE International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew71238.2026.00018
Wang, D. Y., Li, H., Xu, H., Yew, W. C., Zhu, Z., Saha, S., Hei, H., Sarkar, K., & Xu, K. (2026) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3770855.3818450
Wang, Y., & Belkhatir, M. (2015) · International Journal of Multimedia Information Retrieval · doi:10.1007/s13735-013-0043-7
Metadata
- Authors
- Tan, H.-K., Ngo, C.-W., Hong, R., & Chua, T.-S.
- Affiliations
- City University of Hong Kong (HK)
- National University of Singapore (SG)
- Venue
- Proceedings of the 17th ACM international conference on Multimedia
- Publisher
- ACM
- Published
- 2009-10-19
- Pages
- 145-154
- OpenAlex
- W2096395091
- Cited by
- 110
- References
- 29
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 9 · 2023: 11 · 2022: 7 · 2021: 8 · 2020: 1 · 2019: 3 · 2018: 5 · 2017: 1 · 2016: 8 · 2015: 6 · 2014: 6 · 2013: 7 · 2012: 11
- FWCI
- 8.71
- Type
- conference paper
- Language
- en
- Open access
- Locations
- ACM International Conference on Multimedia (ACM MM) (publishedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion, other-oa)
- National University of Singapore (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Analysis and Summarization
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Keywords
- temporal coherence, partial alignment, network flow, feature point matching, shot detection, copy detection, social media videos
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