In this paper, we address the problem of de-tecting strong/weak lines and long/short lines in gray level images simultaneously. Our technique consists of three ...
In this paper, we present an analysis of soccer video for detecting the semantic notion of offense. It is not only use- ful as a new semantic concept of sports ...
Tian, and C.-S. Xu. A mid-level representation framework for semantic sports video analysis. In ACM Multimedia, pages 33--44, 2003.
This paper proposes a system to detect the offensive unit in soccer video automatically, which is then used to calculate new semantics like possession, ...
ABSTRACT. In this paper, we present a novel system and effective algorithms for soccer video segmentation. The output, about whether the ball is in play, ...
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Dec 11, 2024 · Our presented algorithm explores the local visual content of video frames by focusing on spatial and temporal learned features in a low- ...
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Dec 16, 2021 · Event detection in soccer videos using unsupervised learning of Spatio-temporal features based on pooled spatial pyramid model. Multimed ...
This paper builds upon inflated 3D (I3D) ConvNets for video action recognition to detect and differentiate six abstract cate- gories of events in untrimmed ...
able to model the temporal context in soccer broadcast videos using a clustering algorithm based approach for pooling. ... temporal segmentation module based on ...
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retrieval; event based video temporal segmentation, and semantic ... event detection contains both approximate video temporal ... detection in soccer video ...