Video Key Frame Extraction Based on Spatial-Temporal Color Distribution

Video key frame extraction is a type of video abstraction, which is one of the key problems in video content indexing and retrieval. Key frame extraction aims at finding a small collection of salient images extracted from a video sequence for visual content summarization. In this paper we propose a video key frame extraction method based on spatial-temporal color distribution. First we construct a temporally maximum occurrence frame which considers the spatial and temporal distribution of the pixels throughout the video shot. Then a weighted distance is computed between frames in the shot and the constructed reference frame. Key frames are extracted at the peaks of the distance curve and can achieve high compression ratio and high fidelity.