A Novel 3D Video Format Identification Algorithm
More and more 3D videos are uploaded on the web. It becomes very difficult to find an expected 3D video from online videos because search engineering identifies 2D and 3D format according to the text description of each video currently. In this paper, a novel 3D video format identification algorithm CM is proposed. The frame extraction and L&R image matching are analyzed. CM combines the gray histogram matching (GHM) and the SIFT feature matching (SFM). It can obtain high identification accuracy up to 99.5 % at the price of low computational time. Compared to GHM and SFM, it shows better comprehensive performance.
Keywords3D video Automatically format identification Search engineering
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