Refereed full papers (journals, book chapters, international conferences)

2004

@article{LEP2004,
	vgclass =	{refpap},
	author =	{Baoxin Li and James H. Errico and Hao Pan and Ibrahim Sezan},
	title =	{Bridging the semantic gap in sports video retrieval and
	summarization},
	journal =	{Journal of Visual Communication and Image Representation},
	year =	{2004},
	note =	{(in press)},
	url =	{http://dx.doi.org/10.1016/j.jvcir.2004.04.006},
	abstract =	{One of the major challenges facing current media
	management systems and related applications is the so-called
	“semantic gap” between the rich meaning that a user desires and
	the shallowness of the content descriptions that are automatically
	extracted from the media. In this paper, we address the problem of
	bridging this gap in the sports domain. We propose a general framework
	for indexing and summarizing sports broadcast programs, with a
	high-level model of sports broadcast video using the concept of an
	event, defined according to domain-specific knowledge for different
	types of sports. Within this general framework, we develop automatic
	event detection algorithms that are based on automatic analysis of the
	visual and aural signals in the media. We have successfully applied the
	event detection algorithms to different types of sports including
	American football, baseball, Japanese sumo wrestling, and soccer. Event
	modeling and detection contribute to the reduction of the semantic gap
	by providing rudimentary semantic information obtained through media
	analysis. We further propose a novel approach, which makes use of
	independently generated rich textual metadata, to fill the gap
	completely through synchronization of the information-laden textual
	data with the basic event segments. We implemented an MPEG-7 compliant
	browsing system for semantic retrieval and summarization of sports
	video using the proposed algorithms.},
}