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Background subtraction is a technique for detecting moving objects in video frames. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the camera remains stationary and there exist no movements in the background. Video object extraction is a critical task in multimedia analysis and editing. Normally, the...
We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by over-segmenting a volumetric video graph into space-time regions grouped by appearance. We then construct a “region graph” over the obtained segmentation and iteratively repeat this process over multiple levels to create a tree of spatio-temporal...
Online foreground extraction is very difficult due to the complexity of real scenes. Almost all the previous methods assume that the background is stationary, which not only incur unreliable result due to background activities like dynamic shadow, moving background objects etc., but also makes them hard to be extended to the case of non-stationary background. In this paper we assume that the background...
Currently, most research in vehicle color extraction is on a complete or static vehicle image or under a strict restriction on the position of vehicles and makes it hardly be applied in real-time applications. Firstly, new concepts such as First Sight Window and Second Sight Regions are proposed in this paper. Secondly, several algorithms are developed based on the first sight window and bottom-up...
A step-variable shot detection algorithm of soccer video based on DC image is presented in this paper. The proposed method uses the DC image as original data and the grass ratio as feature parameter in soccer field. This algorithm only needs partly decompression from the encode bit-stream and doesnpsilat need all the histogram comparison between adjacent frames, so it can reduce the computational...
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...
A novel scheme for automatic video segmentation is proposed in this paper by fully exploiting both inter-frame temporal information and intra-frame spatial information from the video sequence. The initial motion regions were detected in each frame by using a time-weighted queue. Many approximately homogenous color-texture regions were formed by using improved watershed based on a spatial similarity...
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