Circular Viterbi based adaptive system for automatic video object segmentation

I. Jong Lin, S. Y. Kung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Many future video standards such as MPEG-4 are shifting focus from compression to content; video object segmentation is the key technology required by these standards. Unlike still images, motion in video can be used to discriminate between objects. We present an automatic video single object segmentation system whose core is the adaptive version of the circular Viterbi algorithm. The circular Viterbi algorithm fuses the information from motion analysis, edge analysis, active contours (dynamic snake), and temporal correlation into a unified system. Results of pixel-resolution boundaries from our system are shown. Analysis of results, the integration of human-guided data and region-based analysis and a future iterative scheme for multiple object sequences are also discussed.

Original languageEnglish (US)
Title of host publication1998 IEEE 2nd Workshop on Multimedia Signal Processing
EditorsAbeer Alwan, Antonio Ortega, C.-C. Jay Kuo, C.L. Max Nikias, Ping Wah Wong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages541-546
Number of pages6
ISBN (Electronic)0780349199, 9780780349193
DOIs
StatePublished - Jan 1 1998
Event2nd IEEE Workshop on Multimedia Signal Processing, MMSP 1998 - Redondo Beach, United States
Duration: Dec 7 1998Dec 9 1998

Publication series

Name1998 IEEE 2nd Workshop on Multimedia Signal Processing
Volume1998-December

Other

Other2nd IEEE Workshop on Multimedia Signal Processing, MMSP 1998
CountryUnited States
CityRedondo Beach
Period12/7/9812/9/98

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology

Fingerprint Dive into the research topics of 'Circular Viterbi based adaptive system for automatic video object segmentation'. Together they form a unique fingerprint.

Cite this