Optical flow-based representation for video action detection
Samet Akpınar; Ferda Nur Alpaslan Department of Computer Engineering, Middle East Technical University, Ankara, Turkey
Abstract
In this study, a new model to the problem of video action recognition has been proposed. The model is based on temporal video representation for automatic annotation of videos. Additionally, the generic model inspires other video information retrieval processes including temporal video segmentation. Video action recognition is a field of multimedia research enabling us to recognize the actions from a number of observations, where representation of temporal information becomes important. Visual, audio, and textual features are important sources ...
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