Detection of camera operations in compressed video sequences

F. Idris, S. Panchanathan

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

Visual (image and video) database systems require efficient indexing to enable fast access to the images in a database. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission ofvisual data necessitate the use of compression techniques. Vector quantization (VQ) is an efficient technique for low bit rate image and video compression. In addition, the low complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. The detection of camera operations provides a mechanism to segment a long video shot into short clips defined by homogeneous camera operations which can then be used for indexing. In this paper, we present a technique for the detection of camera operations in video sequences compressed using VQ. The proposed technique is executed in the compressed domain. This entails significant savings in computational and storage costs resulting in faster execution.

Original languageEnglish (US)
Pages (from-to)493-505
Number of pages13
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

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Keywords

  • Camera operations
  • Vector quantization
  • Video indexing
  • Video segmentation

ASJC Scopus subject areas

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

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