Event detection is a crucial part for soccer video searching and querying. The event detection could be done by video content itself or from a structured or semi structured text files gathered from sports web sites. In this paper, we present an approach of metadata extraction from match reports for soccer domain. The UEFA Cup and UEFA Champions League Match Reports are downloaded from the web site of UEFA by a web-crawler. Using regular expressions we annotate these match reports and then extract events from annotated match reports. Extracted events are saved in an MPEG-7 file. We present an interface that is used to query the events in the MPEG-7 match corpus. If an associated match video is available, the video portions that correspond to...
In this paper, we present a novel multi-modal framework for se-mantic event extraction from basketba...
We propose a method to detect events and event boundaries in soccer videos by using web-casting text...
In this report, we first present a general framework for video structure and content analysis. In th...
Event detection is a crucial part for soccer video searching and querying. The event detection could...
This paper describes a video annotation and querying system which is capable of semi-automatic annot...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
We present an efficient soccer video annotation system that combines automatic meta-data extraction ...
Summary. As digital video data becomes more and more pervasive, the issue of mining information from...
In this paper, we present an approach for soccer video edition using a multimodal annotation. We pro...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Match analysis has become an important task in everyday work at professional soccer clubs in order t...
Video content is present in an ever-increasing number of fields, both scientific and commercial. Spo...
In this paper, we present an automatic extraction of goal events in soccer videos by using audio tra...
Digital video networks are making available increasing amounts of sports video data. The volume of m...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
In this paper, we present a novel multi-modal framework for se-mantic event extraction from basketba...
We propose a method to detect events and event boundaries in soccer videos by using web-casting text...
In this report, we first present a general framework for video structure and content analysis. In th...
Event detection is a crucial part for soccer video searching and querying. The event detection could...
This paper describes a video annotation and querying system which is capable of semi-automatic annot...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
We present an efficient soccer video annotation system that combines automatic meta-data extraction ...
Summary. As digital video data becomes more and more pervasive, the issue of mining information from...
In this paper, we present an approach for soccer video edition using a multimodal annotation. We pro...
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing...
Match analysis has become an important task in everyday work at professional soccer clubs in order t...
Video content is present in an ever-increasing number of fields, both scientific and commercial. Spo...
In this paper, we present an automatic extraction of goal events in soccer videos by using audio tra...
Digital video networks are making available increasing amounts of sports video data. The volume of m...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
In this paper, we present a novel multi-modal framework for se-mantic event extraction from basketba...
We propose a method to detect events and event boundaries in soccer videos by using web-casting text...
In this report, we first present a general framework for video structure and content analysis. In th...