Classification-Based Color Constancy
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Dynamic video summarization using two-level redundancy detection
Multimedia Tools and Applications
Region-Based Illuminant Estimation for Effective Color Correction
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Automatic color constancy algorithm selection and combination
Pattern Recognition
EURASIP Journal on Advances in Signal Processing
Dynamic video summarization with content analysis
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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Representation of the video content using a set of key frames is one of the most common techniques for video summarization. Summaries composed of key frames allow users to grasp the overall content of a video, and access specific sequences. The post-processing algorithm presented in this paper makes it possible to create visual video summaries that are exhaustive, but not redundant, in three steps the method removes meaningless key frames, groups the key frames into clusters to allow multi-level summary presentation, and determines the default summary level. The algorithm utilizes both supervised and unsupervised classification strategies to perform these tasks. It requires no previous knowledge about the video contents, nor is any assumption made about the input data.