Skip to main content

Automatic Fast Detection of Anchorperson Shots in Temporally Aggregated TV News Videos

  • Conference paper
  • First Online:
Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9012))

Included in the following conference series:

Abstract

The temporal aggregation method applied for sports news videos detects and aggregates two kinds of shots: sequences of long shots, mainly studio shots unsuitable for content-based indexing, and sports player shots adequate for sports categorization. Hereby, it significantly reduces the number of frames analyzed in content-based indexing of TV sports news. The tests have shown that applying the temporal aggregation method it was possible to reject about half of video frames and despite this almost all sports scenes reported in TV sports news have been indexed. The paper examines the influence of the temporal aggregation on the detection of anchorperson shots in news videos. The TV news video editing is similar to that of TV sports news although news shots are longer in average than sports player shots. The interviews, statements, and commentaries are more significant in news than in sports news for content-based analyses because these statements are not necessarily spoken by an anchorman, so they are usually important informative parts of TV news. The experiments carried out on TV news and described in the paper have shown that anchorperson shots as well as interview shots may be more easily and faster selected when TV news videos are temporally aggregated. These experiments were performed in the Automatic Video Indexer AVI.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Choroś, K.: Temporal aggregation of video shots in TV sports news for detection and categorization of player scenes. In: Bădică, C., Nguyen, N.T., Brezovan, M. (eds.) ICCCI 2013. LNCS, vol. 8083, pp. 487–497. Springer, Heidelberg (2013)

    Google Scholar 

  2. Choroś, K., Gonet, M.: Effectiveness of video segmentation techniques for different categories of videos. In: New Trends in Multimedia and Network Information Systems, pp. 34–45. IOS Press, Amsterdam (2008)

    Google Scholar 

  3. Money, A.G., Agius, H.: Video summarisation: a conceptual framework and survey of the state of the art. J. of Visual Communication and Image Representation 19, 121–143 (2008)

    Article  Google Scholar 

  4. Hu, W., Xie, N., Li, L., Zeng, X., Maybank, S.: A survey on visual content-based video indexing and retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 41(6), 797–819 (2011)

    Article  Google Scholar 

  5. Del Fabro, M., Böszörmenyi, L.: State-of-the-art and future challenges in video scene detection: a survey. Multimedia Syst. 19(5), 427–454 (2013)

    Article  Google Scholar 

  6. Asghar, M.N., Hussain, F., Manton, R.: Video indexing: a survey. Int. J. of Computer and Information Technology 3(1), 148–169 (2014)

    Google Scholar 

  7. Kompatsiaris, Y., Mérialdo, B., Lian, S. (eds.): TV Content Analysis: Techniques and Applications. CRC Press, Boca Raton (2012)

    Google Scholar 

  8. Ji, P., Cao, L., Zhang, X., Zhang, L., Wu, W.: News videos anchor person detection by shot clustering. Neurocomputing 123, 86–99 (2014)

    Article  Google Scholar 

  9. Zheng, F., Li, S., Wu, H., Feng, J.: Anchor shot detection with diverse style backgrounds based on spatial-temporal slice analysis. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, Y.-P.P. (eds.) MMM 2010. LNCS, vol. 5916, pp. 676–682. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Broilo, M., Basso, A., De Natale, F.G.: Unsupervised anchorpersons differentiation in news video. In: Proc. of the 9th International Workshop on Content-Based Multimedia Indexing (CBMI), pp. 115–120. IEEE (2011)

    Google Scholar 

  11. Lee, H., Yu, J., Im, Y., Gil, J.M., Park, D.: A unified scheme of shot boundary detection and anchor shot detection in news video story parsing. Multimedia Tools and Applications 51(3), 1127–1145 (2011)

    Article  Google Scholar 

  12. Montagnuolo, M., Messina, A., Borgotallo, R.: Automatic segmentation, aggregation and indexing of multimodal news information from television and the Internet. Int. J. of Information Studies 1(3), 200–211 (2010)

    Google Scholar 

  13. Dong, Y., Qin, G., Xiao, G., Lian, S., Chang, X.: Advanced news video parsing via visual characteristics of anchorperson scenes. Telecommunication Systems 54(3), 247–263 (2013)

    Article  Google Scholar 

  14. El Khoury, E., Sénac, C., Joly, P.: Audiovisual diarization of people in video content. Multimedia Tools and Applications 68(3), 747–775 (2014)

    Article  Google Scholar 

  15. Qu, B., Vallet, F., Carrive, J., Gravier, G.: Content-based inference of hierarchical structural grammar for recurrent TV programs using multiple sequence alignment. In: Proc. of the IEEE International Conference on Multimedia and Expo, ICME, pp. 1–6 (2014)

    Google Scholar 

  16. Choroś, K.: Video structure analysis and content-based indexing in the automatic video indexer AVI. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds.) Advances in Multimedia and Network Information System Technologies. AISC, vol. 80, pp. 79–90. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  17. Choroś, K.: Video structure analysis for content-based indexing and categorisation of TV sports news. Int. J. of Intelligent Information and Database Systems 6(5), 451–465 (2012)

    Article  Google Scholar 

  18. Choroś, K.: Automatic detection of headlines in temporally aggregated TV sports news videos. In: Proc. of the 8th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 147–152. IEEE (2013)

    Google Scholar 

  19. Choroś, K.: False and miss detections in temporal segmentation of TV sports news videos – causes and remedies. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) New Research in Multimedia and Internet Systems. AISC, vol. 314, pp. 35–46. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kazimierz Choroś .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Choroś, K. (2015). Automatic Fast Detection of Anchorperson Shots in Temporally Aggregated TV News Videos. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15705-4_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15704-7

  • Online ISBN: 978-3-319-15705-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics