Automated analysis and annotation of basketball video

Drew D. Saur, Yap Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge

Research output: Contribution to journalConference articlepeer-review

70 Scopus citations

Abstract

Automated analysis and annotation of video sequences are important for digital video libraries, content-based video browsing and data mining projects. A successful video annotation system should provide users with useful video content summary in a reasonable processing time. Given the wide variety of video genres available today, automatically extracting meaningful video content for annotation still remains hard by using current available techniques. However, a wide range video has inherent structure such that some prior knowledge about the video content can be exploited to improve our understanding of the high-level video semantic content. In this paper, we develop tools and techniques for analyzing structured video by using the low-level information available directly from MPEG compressed video. Being able to work directly in the video compressed domain can greatly reduce the processing time and enhance storage efficiency. As a testbed, we have developed a basketball annotation system which combines the low-level information extracted from MPEG stream with the prior knowledge of basketball video structure to provide high level content analysis, annotation and browsing for events such as wide-angle and close-up views, fast breaks, steals, potential shots, number of possessions and possession times. We expect our approach can also be extended to structured video in other domains.

Original languageEnglish (US)
Pages (from-to)176-187
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3022
DOIs
StatePublished - Jan 15 1997
EventStorage and Retrieval for Image and Video Databases V 1997 - San Jose, United States
Duration: Feb 8 1997Feb 14 1997

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Basketball video content annotation
  • Browsing
  • Indexing
  • Intra-coded block count
  • MPEG compressed data
  • Structured video analysis
  • Wide-angle and close-up camera views

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