Live logging and posterity logging are the two basic applications for video databases. The former aims at providing effective annotation of video in quasi-real time and supports extraction of meaningful clips from the live stream; the latter provides annotation for later reuse of video material and is the prerequisite for retrieval by content from video digital libraries. Both require that information is adequately structured with interchange format and that annotation is performed, at a great extent, automatically. Video information structure must encompass both low-intermediate level video organisation and event relationships that define specific highlights and situations. Analysis of the visual data of the video stream permits to extract hints, identify events and detect highlights. All of this must be supported by a-priori knowledge of the subject and effective reasoning engines capable to capture the inherent semantics of the visual events.

Annotation and retrieval of video documents: sports videos / Jurgen Assfalg; Marco Bertini; Carlo Colombo; Alberto Del Bimbo; Walter Nunziati. - STAMPA. - 1:(2003), pp. 295-300. (Intervento presentato al convegno International Symposium on Image and Signal Processing and Analysis (ISPA) nel 2003-#sep#).

Annotation and retrieval of video documents: sports videos

BERTINI, MARCO;COLOMBO, CARLO;DEL BIMBO, ALBERTO;
2003

Abstract

Live logging and posterity logging are the two basic applications for video databases. The former aims at providing effective annotation of video in quasi-real time and supports extraction of meaningful clips from the live stream; the latter provides annotation for later reuse of video material and is the prerequisite for retrieval by content from video digital libraries. Both require that information is adequately structured with interchange format and that annotation is performed, at a great extent, automatically. Video information structure must encompass both low-intermediate level video organisation and event relationships that define specific highlights and situations. Analysis of the visual data of the video stream permits to extract hints, identify events and detect highlights. All of this must be supported by a-priori knowledge of the subject and effective reasoning engines capable to capture the inherent semantics of the visual events.
2003
Proc. of International Symposium on Image and Signal Processing and Analysis (ISPA)
International Symposium on Image and Signal Processing and Analysis (ISPA)
2003-#sep#
Jurgen Assfalg; Marco Bertini; Carlo Colombo; Alberto Del Bimbo; Walter Nunziati
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/348251
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