Automatic Soccer Video Analysis and Summarization

By A. Ekin, A. Tekalp, R. Mehrotra. IS&T/SPIE Electronic Imaging, 2003

936 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Economics and Econometrics, Gender Studies

View Paper: https://www.semanticscholar.org/paper/d3448a792e771d8cd49a4e0c3b08ae5b3d51e51f

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In Computer Vision and Pattern Recognition

Citations in the corpus

VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method (2011, result): “This result indicates that in cases like sports, domain-speciﬁc summarization techniques as the one presented in (Ekin et al., 2003) can be a better choice.”
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks (2010, background): “The first one [1] tends to classify sports actions with semantically low-level labels, without using a priori information about the studied sport.”
Latent Hierarchical Model of Temporal Structure for Complex Activity Classification (2014, background): “It has wide applications in video surveillance [4], [5], human-computer interface [6], sports video analysis [7], and content based video retrieval [8].”
Video summarisation: A conceptual framework and survey of the state of the art (2008, background): “Other techniques summarise Table 1 List of abbreviations X X X S G Bezerra and Lima [53] X X X S G Cai et al. [54] X X X S G Cernekova et al. [47] X X S G Cheng and Xu [44] X X S G Ciocca and Schettini [49] X X S G Ekin et al. [18] X X X X S G Ferman and Tekalp [41] X X S G Furini and Ghini [1] X X ”
TVSum: Summarizing web videos using titles (2015, background): “, salient objects in sports [17], and salient regions in egocentric videos [27, 32].”
A Survey on Visual Content-Based Video Indexing and Retrieval (2011, background): “[165] classify shots of soccer videos into long, in-field medium, close-up, and out-of-field”