A domain-independent and personalized video abstraction algorithm

Jinguk Jeong, Jongho Nang, Hojung Cha

Research output: Contribution to journalArticlepeer-review


A video server on the Internet usually provides a short version of a video clip, a video abstraction, in order to provide highlights or the overall story to users as quickly as possible. However, since it is statically generated by content providers using domain-dependent heuristics, it cannot satisfy all users simultaneously. This paper proposes a domain-independent video abstraction algorithm that generates various video abstractions dynamically according to the users' requirements. It first identifies some low-level visual and temporal constraints that a good video abstraction should satisfy domain-independently, such as that it should be well-distributed, highly-active, and non-duplicated (or concise), that are used to partially represent the user's requirements. These constraints are formalized as objective functions, and a simulated annealing algorithm is used to find a set of shots that maximizes the weighted sum of these objective functions as much as possible. It is a personalized abstraction algorithm since each user can generate and view various video abstractions by dynamically adjusting the weights of the constraints. From the results of several experiments with a Korean movie and other well-known movie videos, we found that the proposed algorithm can produce various useful video abstractions very quickly.

Original languageEnglish
Pages (from-to)1183-1196
Number of pages14
JournalJournal of Information Science and Engineering
Issue number6
Publication statusPublished - 2004 Nov

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics


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