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We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. We overcome this issue by utilizing textual, visual and audio features. Existing methods assume that the time at which the event occurs is...
With the increasing demand of video services, efficient detection approaches are required to deal with the increasing amount of sport video like baseball, tennis and soccer. Specially, due to characteristics of soccer game, timeliness is a foremost. So apart from efficient performance, real-time or near real-time performance is crucial. In this paper, we propose an effective method for soccer video...
Segmentation of video objects is very important for video objects detection or tracking. A simple segmentation approach for sport scene images is proposed in this paper. Firstly, a simple method is applied to detect the interest pixels in images by the defined interest pixels extraction function and a simple strategy is applied to speed the computation in the process of computation gray mean of pixels;...
Region of interest extraction is very important in video analysis and understanding. A simple and fast region of interest extraction method for sport scene images is proposed in this paper. Firstly, a simple method is applied to detect the interest pixels in images by the defined interest pixels extraction function and a simple strategy is applied to improve the computation speed of mean for each...
The methods presented in this paper aim at detecting and recognizing players on a sport-field, based on a distributed set of loosely synchronized cameras. Detection assumes player verticality, and sums the cumulative projection of the multiple views' foreground activity masks on a set of planes that are parallel to the ground plane. After summation, large projection values indicate the position of...
In baseball, the strike zone plays an important role in each pitch. Pitches which pass through the strike zone count as strikes, three of which strike out the batter. Thus, pitchers should acquire mastery of the strike zone. Moreover, the strike zone also provides the reference for positioning the pitch locations, about which sports fans and professionals have an intense interest in compile statistics...
Unsupervised detection of pan and zoom in soccer sequences allows automatic classification of shots and match analysis. In this work we propose a pan and zoom (both in and out) detector specifically designed for low resolution soccer sequences. Our implementation is based on the analysis of the distribution of the motion vectors, already available in the encoded sequence, among a specific subset of...
In this paper, a new method for line detection at sport images using multi-agent systems is proposed. For this purpose, we introduced some agents. Each agent can recognize special section of an image, for example one agent for recognition of sport imagepsilas background (green pixels) and another for recognition of images line (white pixels).The results show good performance with respect to other...
In this work, we propose a framework to build a billiards tutoring system based on broadcasting nine-ball video analysis. A robust table detection module is developed by mapping the displayed video frames to a predefined billiard table model. In addition, we detect balls and trace their positions at every time instant. The real-world spatial relationships between the table and the balls are used to...
Accurate shot change detection plays vital role to organize video contents into meaningful parts for video scene analysis. Shot changes may occur with either abrupt or gradual shot transition. In abrupt shot transition, the change of video content occurs over a single frame. In gradual shot transition, however, the content change takes place gradually through a short sequence of frames. The gradual...
In this paper, we propose a novel hierarchical framework for soccer (football) video classification. Unlike most existing video classification approaches, which focus on shot detection followed by classification based on clustering using shot aggregation, the proposed scheme perform a top-down video scene classification which avoids shot clustering. This improves the classification accuracy and also...
In sports videos, text information provides valuable game information such as scores, players, and so on. This text information plays an important role for sports video understanding, summarization, and retrieval. These texts which can be used for video highlight or content search are called key captions. In this paper, we provide a robust detection method of key captions in sports videos. We also...
In this paper, we propose a method to acquire the possession information in different zones of the playfield from soccer video by using view type and playfield zone mid-level descriptors. First, each video frame is classified into three kinds of view type according to a domain-specific feature, grass area ratio and series of classification rules. Then, the classified frames are used to determine the...
With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video shot segmentation problem from the perspective of semantic analysis, i.e. the semantic shot segmentation. Most existing works segment and classify the shot by using the dominant...
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