In huge sports video volume all over the world, the particulars inside are being focused more and more, including identifying specific events, persons in them and annotating them with extra knowledge available from on-line sources. The theme is domain specific approach which exploits the typical characteristics of cricket videos to design the most effective approach for the semantic segmentation and event detection which supports, efficient and effective retrieval of video scenes. Cricket video has been selected as the primary application, because they attract viewer worldwide and the complexity of the game is high. This report proposes a novel hybrid multilayered approach for semantic segmentation of cricket video and major cricket events ...
This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-...
Recent developments in video analysis of sports and computer vision techniques have achieved signifi...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...
In huge sports video volume all over the world, the particulars inside are being focused more and mo...
The key events extraction from a video for the bestrepresentation of its contents is known as video ...
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamenta...
In this paper, we present a novel multi-modal framework for se-mantic event extraction from basketba...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
Abstract This paper presents a framework that explicitly detects events in broadcasting baseball vid...
Automatic ways to generate video summarization is a key technique to manage huge video content nowad...
Abstract: This work aims at developing a better understanding towards the process of Video Content A...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
Automated detection of the cricket pitch is a fundamental step in content-based indexing and summari...
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamenta...
Automated detection of the cricket pitch is a fundamental step in content-based indexing and summari...
This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-...
Recent developments in video analysis of sports and computer vision techniques have achieved signifi...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...
In huge sports video volume all over the world, the particulars inside are being focused more and mo...
The key events extraction from a video for the bestrepresentation of its contents is known as video ...
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamenta...
In this paper, we present a novel multi-modal framework for se-mantic event extraction from basketba...
This thesis proposes solutions for content-based sports video analysis, including multi-modal featur...
Abstract This paper presents a framework that explicitly detects events in broadcasting baseball vid...
Automatic ways to generate video summarization is a key technique to manage huge video content nowad...
Abstract: This work aims at developing a better understanding towards the process of Video Content A...
Abstract: This paper presents a framework for soccer event detection through collaborative analysis ...
Automated detection of the cricket pitch is a fundamental step in content-based indexing and summari...
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamenta...
Automated detection of the cricket pitch is a fundamental step in content-based indexing and summari...
This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-...
Recent developments in video analysis of sports and computer vision techniques have achieved signifi...
Abstract—Sports video semantic event detection is essential for sports video summarization and retri...