New enhancements to cut, fade, and dissolve detection processes in video segmentation
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Visual attention based motion object detection and trajectory tracking
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
International Journal of Robotics Research
Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search
IEEE Transactions on Multimedia
Near-Duplicate Keyframe Identification With Interest Point Matching and Pattern Learning
IEEE Transactions on Multimedia
An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering
IEEE Transactions on Multimedia
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Recurring elements in movies contribute significantly to the development of narration, themes, or even mood. The detection of such elements is impeded by the large variance of their visual appearance and usually relies on the experience and attentiveness of the viewer. In this paper, we present a new approach for the automated detection of recurring elements in movies such as motifs and main characters. Performed experiments show the reliability of the algorithm and its potential for automated high-level film analysis.