<div>The research community is interested in developing automatic systems for the detection of events in video. This is particularly important in the field of sports data analytics. This paper presents an approach for identifying major complex events in soccer videos, starting from object detection and spatial relations between objects. The proposed framework, firstly, detects objects from each single video frame providing a set of candidate objects with associated confidence scores. The event detection system, then, detects events by means of rules which are based on temporal and logical combinations of the detected objects and their relative distances. The effectiveness of the framework is preliminary demonstrated over different events li...
Abstract: In this paper we propose a new complex method for automatic football video summarization, ...
A significant application area for automated video analysis technology is the generation of personal...
In the context of computer vision, most of the traditional action recognition techniques assign a si...
The research community is interested in developing automatic systems for the detection of events in ...
The research community is interested in developing automatic systems for the detection of events in ...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
In the last decade, several research efforts have been undertaken in soccer video analysis. This inc...
doi:10.4156/jdcta.vol4. issue8.13 Recently, mining information in sports video data, especially socc...
In this report, we first present a general framework for video structure and content analysis. In th...
Most of existing approaches on event detection in sports video are general audience oriented. The ex...
Abstract This paper presents a framework that explicitly detects events in broadcasting baseball vid...
Detecting events in videos is a complex task, and many different approaches, aimed at a large variet...
We present a novel learning-based framework for detect-ing interesting events in soccer videos. The ...
This diploma thesis describes methods suitable for automatic detection of events from video sequence...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Abstract: In this paper we propose a new complex method for automatic football video summarization, ...
A significant application area for automated video analysis technology is the generation of personal...
In the context of computer vision, most of the traditional action recognition techniques assign a si...
The research community is interested in developing automatic systems for the detection of events in ...
The research community is interested in developing automatic systems for the detection of events in ...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
In the last decade, several research efforts have been undertaken in soccer video analysis. This inc...
doi:10.4156/jdcta.vol4. issue8.13 Recently, mining information in sports video data, especially socc...
In this report, we first present a general framework for video structure and content analysis. In th...
Most of existing approaches on event detection in sports video are general audience oriented. The ex...
Abstract This paper presents a framework that explicitly detects events in broadcasting baseball vid...
Detecting events in videos is a complex task, and many different approaches, aimed at a large variet...
We present a novel learning-based framework for detect-ing interesting events in soccer videos. The ...
This diploma thesis describes methods suitable for automatic detection of events from video sequence...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Abstract: In this paper we propose a new complex method for automatic football video summarization, ...
A significant application area for automated video analysis technology is the generation of personal...
In the context of computer vision, most of the traditional action recognition techniques assign a si...