Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to data compression
Introduction to data compression
Automatic location of text in video frames
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Detection of video sequences using compact signatures
ACM Transactions on Information Systems (TOIS)
Robust voting algorithm based on labels of behavior for video copy detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Scalable near identical image and shot detection
Proceedings of the 6th ACM international conference on Image and video retrieval
Practical elimination of near-duplicates from web video search
Proceedings of the 15th international conference on Multimedia
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Content based video matching using spatiotemporal volumes
Computer Vision and Image Understanding
Dual watermark for image tamper detection and recovery
Pattern Recognition
Bounded coordinate system indexing for real-time video clip search
ACM Transactions on Information Systems (TOIS)
Effective and Efficient Query Processing for Video Subsequence Identification
IEEE Transactions on Knowledge and Data Engineering
Scalable detection of partial near-duplicate videos by visual-temporal consistency
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Fast min-hashing indexing and robust spatio-temporal matching for detecting video copies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
Robust audio identification for MP3 popular music
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Efficient partial-duplicate detection based on sequence matching
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Monitoring near duplicates over video streams
Proceedings of the international conference on Multimedia
Real-time large scale near-duplicate web video retrieval
Proceedings of the international conference on Multimedia
Multiple feature hashing for real-time large scale near-duplicate video retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting
IEEE Transactions on Information Forensics and Security
Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Fast Visual Retrieval Using Accelerated Sequence Matching
IEEE Transactions on Multimedia
Efficient video similarity measurement with video signature
IEEE Transactions on Circuits and Systems for Video Technology
A Framework for Handling Spatiotemporal Variations in Video Copy Detection
IEEE Transactions on Circuits and Systems for Video Technology
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Content-based video copy detection has grabbed an increasing attention in the video search community due to the rapid proliferation of video copies over the Internet. Most existing techniques of video copy detection focus on spatial-based video transformations such as brightness enhancement and caption superimposition. It can be accomplished efficiently by the clip-level matching technique, which summarizes the full content of a video clip as a single signature. However, temporal-based transformations involving random insertion and deletion operations pose a great challenge to clip-level matching. Although some studies employ the frame-level matching technique to deal with temporal-based transformations, the high computation complexity might make them impractical in real applications. In this paper, we present a novel search method to address the above-mentioned problems. For a given query video clip, it is partitioned into short segments, then each of which linearly scans over the video clips in a dataset. Rather than exhaustive search, we derive the similarity upper bounds of these query segments as a filter to skip unnecessary matching. In addition, we present a min-hash-based inverted indexing mechanism to find candidate clips from the dataset. Our experimental results demonstrate that the proposed method is robust and efficient to deal with temporal-based video copies.