A repeated video clip identification system

ABSTRACT

Identifying short repeated video clips, such as news program logo, station logo, TV commercials, etc., from broadcasting video databases or streams is important for video content indexing, personalization as well as monitoring. In this demo system we present the following two functions: 1) automatically identifying variable length unknown repeated clips and known reference clips from video collections or steams; 2) visualize temporal distribution of repeated short video clips and analyze video structure based them. Experiment has been conducted on 12 hour CNN and ABC news videos, and excellent results have been achieved in both short repeated video clip identification and news video structure analysis.

REFERENCES

• 1: Junsong Yuan , Ling-Yu Duan , Qi Tian , Changsheng Xu, Fast and robust short video clip search using an index structure, Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, October 15-16, 2004, New York, NY, USA [doi>10.1145/1026711.1026722]
• 2: J.C. Oostveen, A.A.C. Kalker, J.A Haitsma, "Visual hashing of digital Video: applications and techniques", SPIE applications of digital image processing XXIV, July/August 2001, San Diego, USA.
• 3: Kok Meng Pua , John M. Gauch , Susan E. Gauch , Jedrzej Z. Miadowicz, Real time repeated video sequence identification, Computer Vision and Image Understanding, v.93 n.3, p.310-327, March 2004 [doi>10.1016/j.cviu.2003.10.005]
• 4: M. Cooper, J. Foote, "Scene Boundary Detection via Video Self-Similarity Analysis", Proc. IEEE Intl. Conf. on Image Processing, 2001.
• 5: Xianfeng Yang , Qi Tian , Ee-Chien Chang, A color fingerprint of video shot for content identification, Proceedings of the 12th annual ACM international conference on Multimedia, October 10-16, 2004, New York, NY, USA [doi>10.1145/1027527.1027590]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Abstracting methods

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.1 Models
          Subjects: Structural

General Terms:
Algorithms, Design, Experimentation

Keywords:
repeated video clip, video correlation, video structure analysis