In this paper, a new scheme is proposed to extract the global motion model from general video sequence. Since global camera motion often conveys the semantic meaning of the video’s content, these global model parameters are used as features for video retrieval. Experimental results show our scheme is quite effective in locating video segments with similar motion content in football game sequences. Introduction: In general video sequences, the movement of the camera always follows the place where the important activity goes on. This means the camera motion contains cues of the semantic meaning of the video, especially in some constrained domain. One good example of this is the football game. In football game video, the camera’s movement is o...
The development of the Internet makes the number of online videos increase dramatically, which bring...
Abstract- For the huge amount of complexity and rich information in a video, it is difficult to prev...
This paper aims to show that by using low level feature extraction, motion and object identifying an...
The exploitation of video data requires methods able to extract high-level information from the imag...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
The exploitation of video data requires to extract information at a rather semantic level, and then,...
Pixel-based and motion vector-based global motion estimation (GME) techniques are evaluated in this ...
We present new probabilistic motion models of interest for the detection of meaningful dynamic conte...
Abstract- In this paper, we propose a novel global motion estimation technique based on weighted gra...
Learning dominant motion patterns or activities from a video is an important surveillance problem, e...
Motion concepts mean those concepts containing motion information such as racing car and dancing. In...
International audienceWe propose an original approach for the characterization of video dynamic cont...
International audienceWe propose an original approach for the characterization of video dynamic cont...
The development of the Internet makes the number of online videos increase dramatically, which bring...
Abstract- For the huge amount of complexity and rich information in a video, it is difficult to prev...
This paper aims to show that by using low level feature extraction, motion and object identifying an...
The exploitation of video data requires methods able to extract high-level information from the imag...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
International audienceThe exploitation of video data requires methods able to extract high-level inf...
The exploitation of video data requires to extract information at a rather semantic level, and then,...
Pixel-based and motion vector-based global motion estimation (GME) techniques are evaluated in this ...
We present new probabilistic motion models of interest for the detection of meaningful dynamic conte...
Abstract- In this paper, we propose a novel global motion estimation technique based on weighted gra...
Learning dominant motion patterns or activities from a video is an important surveillance problem, e...
Motion concepts mean those concepts containing motion information such as racing car and dancing. In...
International audienceWe propose an original approach for the characterization of video dynamic cont...
International audienceWe propose an original approach for the characterization of video dynamic cont...
The development of the Internet makes the number of online videos increase dramatically, which bring...
Abstract- For the huge amount of complexity and rich information in a video, it is difficult to prev...
This paper aims to show that by using low level feature extraction, motion and object identifying an...