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 organization 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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Automatic Segmentation and Semantic Annotation of Sports Videos (ASSAVID), EU Project # IST-13082, http://www.bpe-rnd.co.uk/assavid/
N. Dimitrova et al., “Entry into the Content Forest: The Role of Multimedia Portals” IEEE MultiMedia, Summer 2000.
S. Eickeler and S. Muller, “Content-Based Video Indexing of TV Broadcast News Using Hidden Markov Models”, in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2997–3000, 1999.
S. Fischer, R. Lienhart, W. Effelsberg, “Automatic Recognition of Film Genres”, in Proc. ACM Multimedia 95, pp. 295–304, 1995.
R. C. Gonzales, and R. E. Woods, Digital Image Processing, Addison-Wesley, Reading (MA), 1992. @
H. Miyamori, S.-I. Iisaku, “Video annotation for content-based retrieval using human behavior analysis and domain knowledge”, in Proc. Int. Workshop on Automatic Face and Gesture Recognition 2000, 2000.
Y. Nakamura, T. Kanade, “Semantic Analysis for Video Contents Extraction — Spotting by Association in News Video”, in Proc. of ACM Multimedia’97, 1997.
E. K. Wong, M. Chen, “A Robust Algorithm for Text Extraction in Color Video”, in Proc. ICME 2000, 2000.
S. Choi, Y. Seo, H. Kim, K.-S. Hong, “Where are the ball and players?: Soccer Game Analysis with Color-based Tracking and Image Mosaick”, Proc. of Int’l Conf. Image Analysis and Processing (ICIAP’97), 1997.
V. Tovinkere, R. J. Qian, “Detecting Semantic Events in Soccer Games: Towards a Complete Solution”, Proc. of Int’l Conf. on Multimedia and Expo (ICME 2001), pp. 1040–1043, 2001.
D. Yow, B.-L. Yeo, M. Yeung, B. Liu, “Analysis and Presentation of Soccer Highlights from Digital Video”, Proc. of 2nd Asian Conf. on Computer Vision (ACCV’95), 1995.
G. Sudhir, J. C. M. Lee, A. K. Jain, “Automatic Classiffication of Tennis Video for High-level Content-based Retrieval”, Proc. of the Int’l Workshop on Content-Based Access of Image and Video Databases (CAIVD’ 98), 1998.
S. Nepal, U. Srinivasan, G. Reynolds, “Automatic Detection of ‘Goal’ Segments in Basketball Videos”, Proc. of ACM Multimedia, pp. 261–269, 2001.
D. D. Saur, Y.-P. Tan, S. R. Kulkami, P. J. Ramadge, “Automatic Analysis and Annotation of Basketball Video”, Storage and Retrieval for Image and Video Databases V, pp. 176–187, 1997.
Y. Rui, A. Gupta, A. Acero, “Automatically Extracting Highlights for TV Baseball Programs”, Proc. of ACM Multimedia, 2000.
M. Bertini, A. Del Bimbo, and P. Pala. “Content-based indexing and retrieval of TV news”, Pattern Recognition Letters, 22(5):503–516, 2001.
A. Hampapur, “Semantic Video Indexing: Approach and Issues”, SIGMOD Record Vol 28, Special section on semantic interoperability in global information systems, March 1999.
C-W. Ngo, H-J. Zhang, T-C. Pong, “Recent Advances in Content Based Video Analysis”, International Journal of Image and Graphics 3(1):445–468, 2001.
C. G. M. Snoek and M. Worring, “A State-of-the-art Review on Multimodal Video Indexing”, Proceedings of the 8th Annual Conference of the Advanced School for Computing and Imaging, 194–202, 2002.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bertini, M., Del Bimbo, A., Nunziati, W. (2003). Annotation and Retrieval of Structured Video Documents. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_2
Download citation
DOI: https://doi.org/10.1007/3-540-36618-0_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-01274-0
Online ISBN: 978-3-540-36618-8
eBook Packages: Springer Book Archive