Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers
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The proposed method performs well in both accuracy and efficiency and shows superiority to several other copy detection methods using state-of-the-art features on TRECVID 2008.
“The experiments on the commonly used video dataset, i.e., TRECVID 2008, demonstrate that the proposed method performs well in aspects of both accuracy and ef ciency and shows superiority to several other copy detection methods using the state-of-the-art features.”
From Video Copy Detection Using Spatio-Temporal CNN Features (2019) · cites this paper as [37]
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155 · see citing works
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 74,248 · see citing works
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 · see citing works
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562 · see citing works
Caffe: Convolutional Architecture for Fast Feature Embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077 · see citing works
Learning Spatiotemporal Features with 3D Convolutional Networks
Tran, D., Bourdev, L., Fergus, R., Torresani, L., & Paluri, M. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.510 · Cited by 9,593 · see citing works
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367 · see citing works
CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
Razavian, A. S., Azizpour, H., Sullivan, J., & Carlsson, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2014.131 · Cited by 4,451 · see citing works
Aggregating local descriptors into a compact image representation
Jeǵou, H., Douze, M., Schmid, C., & Pérez, P. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540039 · Cited by 2,679 · see citing works
Description of interest regions with local binary patterns
Heikkilä, M., Pietikäinen, M., & Schmid, C. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.08.014 · Cited by 1,213 · see citing works
Bahmani, B., Moseley, B., Vattani, A., Kumar, R., & Vassilvitskii, S. (2012) · Proceedings of the VLDB Endowment · doi:10.14778/2180912.2180915 · Cited by 651 · see citing works
A discriminative CNN video representation for event detection
Xu, Z., Yang, Y., & Hauptmann, A. G. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298789 · Cited by 438 · see citing works
Exploiting local features from deep networks for image retrieval
Ng, J. Y.-H., Yang, F., & Davis, L. S. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301272 · Cited by 359 · see citing works
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 · see citing works
Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval
Song, J., Yang, Y., Huang, Z. H., Shen, H. T., & Luo, J. (2013) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2013.2271746 · Cited by 259 · see citing works
Near-duplicate video retrieval
Liu, J., Huang, Z. H., Cai, H., Shen, H. T., Ngo, C., & Wang, W. (2013) · ACM Computing Surveys · doi:10.1145/2501654.2501658 · Cited by 181 · see citing works
An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering
Douze, M., Jeǵou, H., & Schmid, C. (2010) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2010.2046265 · Cited by 165 · see citing works
Real-time large scale near-duplicate web video retrieval
Shang, L., Yang, L., Wang, F., Chan, K.-P., & Hua, X. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874021 · Cited by 124 · see citing works
Pattern-Based Near-Duplicate Video Retrieval and Localization on Web-Scale Videos
Chou, C.-L., Chen, H.-T., & Lee, S.-Y. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2391674 · Cited by 106 · see citing works
Bounded coordinate system indexing for real-time video clip search
Huang, Z. H., Shen, H. T., Shao, J., Zhou, X., & Cui, B. (2009) · ACM Transactions on Information Systems · doi:10.1145/1508850.1508855 · Cited by 73 · see citing works
Million-scale near-duplicate video retrieval system
Cai, Y., Yang, L., Ping, W., Wang, F., Mei, T., Hua, X., & Li, S. (2011) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2072298.2072484 · Cited by 54 · see citing works
TRECVID 2010 content based copy detectiontask overview (slides)
Kraaij, W., Awad, G., & Over, P. (2008) · TNO Repository · Cited by 11 · see citing works
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Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, Y. (2017) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2017.49 · Cited by 87 · see citing works
Self-citationViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning
Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, I. Y. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00645 · Cited by 82 · see citing works
Self-citationFIVR: Fine-Grained Incident Video Retrieval
Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, I. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2905741 · Cited by 78 · see citing works
“For instance, Layer Bagof-Words (LBoW) [27] is a variant of the BoW scheme based”
BackgroundMethodInfluentialSelf-citationTemporal Context Aggregation for Video Retrieval with Contrastive Learning
Shao, J., Wen, X., Zhao, B., & Xue, X. (2021) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv48630.2021.00331 · Cited by 72 · see citing works
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval
Jiang, Q.-Y., He, Y., Li, G., Lin, J., Li, L., & Li, W.-J. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00538 · Cited by 49 · see citing works
Cooper, N., Bernal-Cárdenas, C., Chaparro, O., Moran, K., & Poshyvanyk, D. (2021) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse43902.2021.00091 · Cited by 45 · see citing works
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Kordopatis-Zilos, G., Tzelepis, C., Papadopoulos, S., Kompatsiaris, I. Y., & Patras, I. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01651-3 · Cited by 37 · see citing works
Self-citationVideo Similarity and Alignment Learning on Partial Video Copy Detection
Han, Z., He, X., Tang, M., & Lv, Y. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475549 · Cited by 36 · see citing works
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval
Jiang, C., Huang, K., He, S., Yang, X., Zhang, W., Zhang, X., Cheng, Y., Yang, L., Wang, Q., Xu, F., et al. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475301 · Cited by 36 · see citing works
Advance on large scale near-duplicate video retrieval
Shen, L., Hong, R., & Hao, Y. (2020) · Frontiers of Computer Science · doi:10.1007/s11704-019-8229-7 · Cited by 25 · see citing works
A multi-embedding neural model for incident video retrieval
Chiang, T.-H., Tseng, Y., & Tseng, Y. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108807 · Cited by 24 · see citing works
Pyramid regional graph representation learning for content-based video retrieval
Zhao, G., Zhang, M., Li, Y., Liu, J., Zhang, B., & Wen, J.-R. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2020.102488 · Cited by 23 · see citing works
He, S., Yang, X., Jiang, C., Liang, G., Zhang, W., Pan, T., Wang, Q., Xu, F., Li, C., Liu, J., et al. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.02041 · Cited by 23 · see citing works
Learn from Unlabeled Videos for Near-duplicate Video Retrieval
He, X., Pan, Y., Tang, M., Lv, Y., & Peng, Y. (2022) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3477495.3532010 · Cited by 20 · see citing works
Self-Supervised Video Similarity Learning
Kordopatis-Zilos, G., Tolias, G., Tzelepis, C., Kompatsiaris, I. Y., Patras, I., & Papadopoulos, S. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00504 · Cited by 20 · see citing works
Self-citationAttention-Based Deep Metric Learning for Near-Duplicate Video Retrieval
Wang, K.-H., Cheng, C.-C., Chen, Y.-L., Song, Y., & Lai, S.-H. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR) · doi:10.1109/icpr48806.2021.9412710 · Cited by 19 · see citing works
Video Copy Detection Using Spatio-Temporal CNN Features
Zhou, Z., Chen, J., Yang, C.-N., & Sun, X. (2019) · IEEE Access · doi:10.1109/access.2019.2930173 · Cited by 18 · see citing works
“Kordopatis-Zilos et al. [25] extract frame-level descriptors by applying max pooling on the activations of multiple convolutional layers of CNN. Zhang et al. [26] directly use the famous CNN model, i.e. , Alexnet’s output of the sixth full connected (FC6) layer as the keyframe-level representation,…”
MethodTranslating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios
Bernal-Cárdenas, C., Cooper, N., Havranek, M., Moran, K., Chaparro, O., Poshyvanyk, D., & Marcus, A. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3192279 · Cited by 16 · see citing works
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Dong, J., Wang, X., Zhang, L., Xu, C., Yang, G., & Li, X. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2019.2947442 · Cited by 16 · see citing works
Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
Avgoustinakis, P., Kordopatis-Zilos, G., Papadopoulos, S., Symeonidis, A. L., & Kompatsiaris, I. Y. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9413056 · Cited by 15 · see citing works
Self-citationProducts-6K: A Large-Scale Groceries Product Recognition Dataset
Georgiadis, K., Kordopatis-Zilos, G., Kalaganis, F. P., Migkotzidis, P., Chatzilari, E., Panakidou, V., Pantouvakis, K., Tortopidis, S., Papadopoulos, S., Nikolopoulos, S., et al. (2021) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3453892.3453894 · Cited by 14 · see citing works
Self-citationThe 2023 video similarity dataset and challenge
Pizzi, E., Kordopatis-Zilos, G., Patel, H., Postelnicu, G. M., Ravindra, S. N., Gupta, A., Papadopoulos, S., Tolias, G., & Douze, M. (2024) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2024.103997 · Cited by 12 · see citing works
Self-citationVVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
Jo, W., Lim, G., Lee, G., Kim, H., Ko, B., & Choi, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i3.28046 · Cited by 11 · see citing works
A Survey on Near Duplicate Video Retrieval Using Deep Learning Techniques and Framework
Phalke, D. A., & Jahirabadkar, S. A. (2020) · IEEE Pune Section International Conference (PuneCon) · doi:10.1109/punecon50868.2020.9362347 · Cited by 10 · see citing works
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
Liu, Y., Xu, Q., Wen, P., Dai, S., & Huang, Q. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681110 · Cited by 9 · see citing works
Video Analysis System Using Deep Learning Algorithms
Hernández, G., Rodrı́guez, S., Arrieta, A. G., Corchado, J. M., & Prieto, J. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-58356-9_19 · Cited by 8 · see citing works
Jiang, D., & Kim, J. (2018) · Applied Sciences · doi:10.3390/app8101735 · Cited by 7 · see citing works
Few-Shot Action Localization without Knowing Boundaries
Xie, T., Tzelepis, C., Fu, F., & Patras, I. (2021) · International Conference on Multimedia Retrieval · doi:10.1145/3460426.3463643 · Cited by 7 · see citing works
Self-citationAn Efficient Hierarchical Near-Duplicate Video Detection Algorithm Based on Deep Semantic Features
Liang, S., & Wang, P. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-37731-1_61 · Cited by 7 · see citing works
3D-CSL: Self-Supervised 3D Context Similarity Learning for Near-Duplicate Video Retrieval
Deng, R., Wu, Q., & Li, Y. (2023) · Proceedings - International Conference on Image Processing · doi:10.1109/icip49359.2023.10222915 · Cited by 7 · see citing works
Extremely compact video representation for efficient near-duplicates detection
Fojcik, K., Syga, P., & Klonowski, M. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.111016 · Cited by 6 · see citing works
Finding Near-Duplicate Videos in Large-Scale Collections
Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, I. Y. (2019) · Springer eBooks · doi:10.1007/978-3-030-26752-0_4 · Cited by 6 · see citing works
Self-citationQin, A., Xiao, M., Wu, Y., Huang, X., & Zhang, X. (2021) · Proceedings of the VLDB Endowment · doi:10.14778/3476311.3476371 · Cited by 6 · see citing works
Banerjee, A., Kumar, E., & Ravinder, M. (2024) · International Journal of Information Technology · doi:10.1007/s41870-024-01826-w · Cited by 5 · see citing works
An Automatic Near-Duplicate Video Data Cleaning Method Based on a Consistent Feature Hash Ring
Qin, Y., Ye, O., & Fu, Y. (2024) · Electronics · doi:10.3390/electronics13081522 · Cited by 4 · see citing works
Video copy detection by conducting fast searching of inverted files
Liu, M., Po, L.-M., Rehman, Y. A. U., Xu, X., Li, Y., & Feng, L. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6639-4 · Cited by 5 · see citing works
Compact video fingerprinting via an improved capsule net
Li, X., Lianghao, X., & Yang, Y. (2020) · Systems Science & Control Engineering · doi:10.1080/21642583.2020.1833782 · Cited by 5 · see citing works
Content-based Video Copy Detection using Binary Object Fingerprints
Liu, M., Po, L.-M., Zhou, C. S., Yuen, W. Y. F., Cheung, H. K., Wong, P. H. W., Luk, H.-T., & Lau, K.-W. (2018) · IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) · doi:10.1109/icspcc.2018.8567827 · Cited by 5 · see citing works
Kalakoti, G., & Prabakaran, G. (2020) · Traitement du signal · doi:10.18280/ts.370509 · Cited by 5 · see citing works
The 2023 Video Similarity Dataset and ChallengePreprint
Pizzi, E., Kordopatis-Zilos, G., Patel, H., Postelnicua, G., Ravindra, S. N., Gupta, A., Papadopoulos, S., Tolias, G., & Douze, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4597445 · Cited by 5 · see citing works
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Goud, B. P., Reddy, K. S., Kumar, K. P., Shivaganesh, D., Reddy, P. V. K., & Reddy, S. (2025) · International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) · doi:10.1109/aimla63829.2025.11040195 · Cited by 4 · see citing works
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Jo, W., Lim, G., Hwang, Y., Lee, G., Kim, J., Yun, J., Jung, J., & Choi, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3259733 · Cited by 4 · see citing works
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Allouche, M., & Mitrea, M. (2022) · Frontiers in Signal Processing · doi:10.3389/frsip.2022.984169 · Cited by 4 · see citing works
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Wang, C.-H., Tseng, Y., Chiang, T.-H., & Chen, Y.-A. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00656 · Cited by 4 · see citing works
Hammad, M., Hammad, M., & Elshenawy, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59830-3_21 · Cited by 4 · see citing works
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Dilawari, A., Iqbal, S., Syed, F., & Ilyas, Q. M. (2024) · IEEE Access · doi:10.1109/access.2024.3411101 · Cited by 3 · see citing works
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Okur, E., Kumar, S. H., Sahay, S., & Nachman, L. (2020) · doi:10.18653/v1/2020.challengehml-1.7 · Cited by 3 · see citing works
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Кубицький, В., & Panchenko, T. (2023) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-36115-9_30 · Cited by 2 · see citing works
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Fu, Y., Duan, R., & Ye, O. (2023) · International Conference on Intelligent Computing and Signal Processing (ICSP) · doi:10.1109/icsp58490.2023.10248727 · Cited by 2 · see citing works
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Banerjee, A., Kumar, E., & Megavath, R. (2024) · International Journal of Data Science and Analytics · doi:10.1007/s41060-024-00587-w · Cited by 2 · see citing works
Satoh, S., Jónsson, B. Þ., Gurrin, C. G., Guðmundsson, G. Þ., & Amsaleg, L. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-51814-5 · Cited by 2 · see citing works
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Nie, X., Lin, P., Yang, M., & Yin, Y. (2018) · Scientia Sinica Informationis · doi:10.1360/n112018-00136 · Cited by 1 · see citing works
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Hernández, G., Arrieta, A. G., Nováis, P., & Rodrı́guez, S. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-87869-6_27 · Cited by 1 · see citing works
Okur, E., Kumar, S. H., Sahay, S., & Nachman, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.13714 · Cited by 1 · see citing works
Temporal Compression and Fast Matching of Hand-Crafted and Deep Features of Video Segments
Werner Bailer, A., & Wechtitsch, S. (2018) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi.2018.8516476
Nurye, D., Aktaş, Y. Ç., & García, J. (2023) · SPIE Conference on Artificial Intelligence for Security and Defence Applications · doi:10.1117/12.2680257
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Wang, L., Yang, C., Luan, H., Gai, W., Geng, W., & Zheng, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5594-3_27
Balancing Efficiency and Accuracy: An Analysis of Sampling for Video Copy Detection
Chen, X., & Satoh, S. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-2054-8_9
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
SPCD: A Shot-Based Partial Copy Detection Method
Tao, Y., & Chen, D. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-3543-9_25
Trust-Based Ranking System: A Novel Late Fusion Strategy for Near Duplicate Video Retrieval
Phalke, D. A., & Jahirabadkar, S. A. (2025) · International Conference on Electronics and Computing, Communication Networking Automation Technologies (ICEC2NT) · doi:10.1109/icec2nt65402.2025.11379995
- Authors
- Kordopatis-Zilos, G., Papadopoulos, S., Patras, I., & Kompatsiaris, Y.
- Affiliations
- Queen Mary University of London (GB)
- Information Technologies Institute (GR)
- Corresponding author
- Kordopatis-Zilos, Giorgos
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016-12-31
- Pages
- 251-263
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2563614140
- Cited by
- 83
- References
- 23
- Citations by year
- 2025: 7 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 13 · 2020: 10 · 2019: 9 · 2018: 5 · 2017: 2 · 2016: 1
- FWCI
- 1.97
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Queen Mary Research Online (Queen Mary University of London) (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 › Image Retrieval and Classification Techniques
- Keywords
- near-duplicate video retrieval, online video, AlexNet, VGG, GoogLeNet
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