Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Robust voting algorithm based on labels of behavior for video copy detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Searching for repeated video sequences
Proceedings of the international workshop on Workshop on multimedia information retrieval
A probabilistic framework for fusing frame-based searches within a video copy detection system
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Video linkage: group based copied video detection
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
A novel video key-frame-extraction algorithm based on perceived motion energy model
IEEE Transactions on Circuits and Systems for Video Technology
Wildlife video key-frame extraction based on novelty detection in semantic context
Multimedia Tools and Applications
| Hi-index | 0.01 |
Keyframe extraction constitutes a fundamental unit in many video retrieval-related applications. In the emerging research field of content-based video copy detection, efficient representation of video content at keyframe level is crucial, due to the fact that similarity search is mainly performed between content-representative frames. In this paper a sequential search algorithm that by passes the process of temporal video segmentation is proposed for keyframe extraction in MPEG videos. We aim at providing an efficient, real-time and fully-automatic way of extracting keyframes in videos, where not only the laborious task of offline video database indexing is avoided, but also query video processing is performed in the same manner as the reference video database. Significant reduction in computational cost is achieved by exploiting DCT coefficients in feature extraction. The effectiveness of the proposed scheme is evaluated in terms of quality and speed on the manually annotated TRECVid 2007 test video dataset.