Self-supervised Video Copy Localization with Regional Token Representation

M Lu, Y Lu, S Nie, X Yang, X Zhang - European Conference on Computer …, 2025 - Springer
The task of video copy localization aims at finding the start and end timestamps of all copied
segments within a pair of untrimmed videos. Recent approaches usually extract frame-level …

The 2023 video similarity dataset and challenge

E Pizzi, G Kordopatis-Zilos, H Patel… - Computer Vision and …, 2024 - Elsevier
This work introduces a dataset, benchmark, and challenge for the problem of video copy
tracing. There are two related tasks: determining whether a query video shares content with …

The 2023 Video Similarity Dataset and Challenge

E Pizzi, G Kordopatis-Zilos, H Patel… - arXiv preprint arXiv …, 2023 - arxiv.org
This work introduces a dataset, benchmark, and challenge for the problem of video copy
detection and localization. The problem comprises two distinct but related tasks: determining …

Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval

Y Liu, Q Xu, P Wen, S Dai, Q Huang - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
The rapid growth of online video resources has significantly promoted the development of
video retrieval methods. As a standard evaluation metric for video retrieval, Average …

iESTA: Instance-Enhanced Spatial-Temporal Alignment for Video Copy Localization

X Ding, J Lou, W Luo, Y Liu, B Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Video copy Segment Localization (VSL) requires the identification of the temporal segments
within a pair of videos that contain copied content. Current methods primarily focus on global …

KDC-MAE: Knowledge Distilled Contrastive Mask Auto-Encoder

M Bora, S Atreya, A Mukherjee, A Das - arXiv preprint arXiv:2411.12270, 2024 - arxiv.org
In this work, we attempted to extend the thought and showcase a way forward for the Self-
supervised Learning (SSL) learning paradigm by combining contrastive learning, self …

Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection

J Kim, S Woo, J Nang - arXiv preprint arXiv:2405.17928, 2024 - arxiv.org
This paper addresses image copy detection, a task in online sharing platforms for copyright
protection. While previous approaches have performed exceptionally well, the large size of …

Face De-Identification Using Convolutional Neural Network (CNN) Models for Visual-Copy Detection

J Song, J Kim, J Nang - Applied Sciences, 2024 - mdpi.com
The proliferation of media-sharing platforms has led to issues with illegally edited content
and the distribution of pornography. To protect personal information, de-identification …

SFD: Similar Frame Dataset for Content-Based Video Retrieval

C Han, G Meng, C Huo - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Content-based video retrieval aims to retrieve near-duplicate entries from a database of a
given query video. It plays an important role in combating video piracy. Robustness to video …

Robust near-duplicate video retrieval using compressed representation

D Progonov, A Mandrenko, D Kuzmenko… - … on Advanced Video …, 2024 - ieeexplore.ieee.org
Recently the amount of videos produced by mobile devices has grown, as well as the variety
of video analytics services, able to perform on-device classification, automated tagging …