A fast recognition algorithm for detecting common broadcasting faults

The video before it is been broadcast should be detected to find out whether it has broadcasting faults. Broadcasting fault mainly refers to black field, static frame, color bar, mute, volume excess. In this paper, we proposed a fast recognition algorithm based on MATLAB to detect common broadcasting faults. We used M language to complete a software platform which can identify the static frame, black fields, color bar in the video sequence, and the mute, volume excess in the audio sequence. Experimental evaluation shows that our approach significantly performs well in the automatic broadcasting faults detection.