Skip to main content
SpringerLink
Log in

A multimedia system to produce and deliver video fragments on demand on parliamentary websites

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Parliamentary websites have become one of the most important windows for citizens and media to follow the activities of their legislatures and to hold parliaments to account. Therefore, most parliamentary institutions aim to provide new multimedia solutions capable of displaying video fragments on demand on plenary activities. This paper presents a multimedia system for parliamentary institutions to produce video fragments on demand through a website with linked information and public feedback that helps to explain the content shown in these fragments. A prototype implementation has been developed for the Canary Islands Parliament (Spain) and shows how traditional parliamentary streaming systems can be enhanced by the use of semantics and computer vision for video analytics. The semantic web technologies used make search capabilities on parliamentary websites available to users to retrieve video fragments on demand with accurate and timely information. In addition, video analytic techniques enable the automation of identifying representative keyframes to be annotated by parliamentary experts. As a result, parliaments are able to enhance citizens’ access to information and ensure that these institutions are more open and accountable on their websites and; at the same time, the labor-intensive tasks of parliamentary experts are considerably reduced.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Abdallah S, Raimond Y (2007) The timeline ontology. http://purl.org/NET/c4dm/timeline.owl#. Accessed May 2015

  2. Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intell 28(12):2037–2041

    Article  MATH  Google Scholar 

  3. Barra-Chicote R, Pardo J, Ferreiros J, Montero J (2011) Speaker diarization based on intensity channel contribution. IEEE Trans Audio Speech Lang Process 19(4):754–761

    Article  Google Scholar 

  4. Berners-Lee T, Hendler J, Lassila O (2001) The semantic web. Sci Am Mag 284(5):28–37

    Article  Google Scholar 

  5. Berners-Lee T (2006) Linked data. Int J Semant Web Inf Syst 4(2):1–72

    Google Scholar 

  6. Bertot J, Jaeger P, Grimes M (2010) Using ICTs to create a culture of transparency: e-government and social media as openness and anti-corruption tools for societies. Gov Inf Q 27:264–271

    Article  Google Scholar 

  7. Bixtext API (2014) http://www.bitext.com/. Accessed May 2015

  8. Bizer C, Heath T, Berners-Lee T (2009) Linked data—the story so far. Int J Semant Web Inf Syst 5(3):1–22

    Article  Google Scholar 

  9. Breslin G, Harth A, Bojars U, Decker S (2005) Towards semantically-interlinked online communities. In 2nd European Semantic Web Conference (ESWC 2005) 500–514

  10. Brickley D, Miller L (2014) FOAF vocabulary specification 0.99. Namespace Document 14 January 2014 – Paddington Edition, FOAF Project. http://xmlns.com/foaf/spec/. Accessed May 2015

  11. Bulterman D, Grassel G, Jansen J, Koivisto A, Layaida N, Michel T, Mullender S, Zucker D (ed) (2005) Synchronized multimedia integration language (SMIL 2.1). W3C recommendation. World Wide Web

  12. Cheng D, Cristani M, Stoppa M, Bazzani L, Murino V (2011) Custom pictorial structures for re-identification. Br Mach Vis Conf, Dundee

    Book  Google Scholar 

  13. Castrillón Santana M, Déniz O, Hernández, D, Lorenzo JA (2011) Comparison of face and facial feature detectors based on the Viola-Jones general object detection framework. Mach Vis Appl 22(3)

  14. Cong Truong D, Khoudour L, Achard C, Meurie C, Lezoray O (2010) People re-identification by spectral classification of silhouettes. Sig Process 90:2362–2374. doi:10.1016/j.sigpro.2009.09.005

    Article  MATH  Google Scholar 

  15. Cover M, Thomas A (2006) Elements of information theory. Wiley Interscience

  16. Bpedia D (2014) The DBpedia Ontology 3.9. http://wiki.dbpedia.org/Ontology. Accessed May 2015

  17. Déniz O, Bueno G, Salido J, Torre D (2011) Face recognition using histograms of oriented gradients. Pattern Recogn Lett 32(12):1598–1603

    Article  Google Scholar 

  18. Dublin Core Metadata Innovation (2006) DCMI term declarations represented in RDF schema language

  19. EBU/ETSI (2008) ETSI TS 102 822-3-1: TV-anytime. http://www.tv-anytime.org/. Accessed May 2015

  20. Eurovoc (2014) EU’s multilingual thesaurus. http://eurovoc.europa.eu/drupal/. Accessed May 2015

  21. Global Centre for ICT in Parliament United Nations Department of Economic and Social Affairs (2012) World e-Parliament Report 2012. In: Inter-Parliamentary Union Press, by the Division for Public Administration and Development Management of the United Nations

  22. Gray D, Tao H (2008) Viewpoint invariant pedestrian recognition with ensemble of localized features. Proc. European Conference on Computer Vision (ECCV 2008)

  23. Hausenblas M, Troncy R, Burguer T, Raimond Y (2009) Interlinking multimedia: how to apply linked data principles to multimedia fragments. LDOW2009, Madrid

    Google Scholar 

  24. Hausenblas M, Karnstedt, M (2010) Understanding linked open data as a web-scale database. In Proc. Second Int’l Conf. Advances in Databases Knowledge and Data Applications (DBKDA) 56–61

  25. Inter- Parliamentary Union (IPU) (2009) Guidelines for the content and structure of parliamentary web sites. In: Inter-Parliamentary Union Press, United Nations

  26. ISO/IEC (2002) Information technology- multimedia content description interface. ISO/IEC 15938–1

  27. ISO/IEC (2006) Information technology-MPEG-21, part17: fragment identification of MPEG resources. ISO/IEC 21000–17

  28. Knox M, Friendland G (2010) Using oriented optical flow histograms for multimodal speaker diarization. Proceedings of ISCA Interspeech, Makuhari, pp 290–293

    Google Scholar 

  29. Kontopoulos E, Berberidis C, Dergiades T, Bassiliades N (2013) Ontology-based sentiment analysis of twitter posts. J Expert Syst Appl. doi:10.1016/j.eswa.2013.01.001

    Google Scholar 

  30. Kumar N, Berg A, Belhumeur P, Nayar S (2011) Describable visual attributes for face verification and image search. IEEE Trans Pattern Anal Mach Intell (PAMI) 33(10):1962–1977

    Article  Google Scholar 

  31. Lefevre S, Vincent N (2007) Efficient and robust shot detection. J Real-Time Image Proc e:23–34

  32. Li Y, Wald M, Wills G (2011) Interlinking multimedia annotations. ACM Web Science Conference 2011, Koblenz

    Google Scholar 

  33. Li Y, Wald M, Wills G (2012) Applying linked data in multimedia annotations. Int J Semant Comput 6(3):203–237

    Article  Google Scholar 

  34. Lorenzo-Navarro J, Castrillón-Santana M, Freire-Obregón, Ramón-Balmaseda E (2015) Stripe based clothes segmentation, Workshop on Video Analytics for Audience Measurement (VAAM15)

  35. Mannens E, Derusen D, Troncy R, Pfeiffer S, Parker C, Lafon Y, Jansen J, Haunsenblas M, Vand de Wall R (2012) A URI-based approach for addressing fragments of media resources on the Web. Multimedia Tools Appl J 59:691–715. doi:10.1007/s11042-010-0683-z, Springer-Verlag

    Article  Google Scholar 

  36. Miró X, Bozonnet S, Evans N, Fredouille C, Friendland G (2012) Speaker diarization: a review of recent research. IEEE Trans Audio Speech Lang Process 20(2):356–370

    Article  Google Scholar 

  37. OpenLink Software (2014) Virtuoso Universal Server. http://virtuoso.openlinksw.com/. Accessed May 2015

  38. Saif H, He Y, Alani H (2012) Alleviating data sparsity for twitter sentiment analysis. In 2nd Workshop on making sense of microposts (#MSM2012): Big things come in small packages at World Wide Web (WWW2012) 2–9

  39. Schandl B, Haslhofer B, Burger T, Langegger A, Halb W (2012) Linked data and multimedia: the state of affairs. Multimedia Tools Appl J 59:523–556. doi:10.1007/s11042-011-0762-9, Springer-Verlag

    Article  Google Scholar 

  40. Sikora T (2001) The MPEG-7 visual standard for content description—an overview. IEEE Trans Circuits Syst Video Technol 11(6):696–702

    Article  Google Scholar 

  41. Stankovic M, Passant A, Laublet P (2009) Directing status messages to their audience in online communities, MALLOW2009

  42. Studer R, Benjamins R, Fensel D (1998) Knowledge engineering: principles and methods. IEEE Trans Data Knowl Eng 25(1-2):161–197

    Article  MATH  Google Scholar 

  43. Tapaswi, M, Bauml M, Stiefellhagen, R (2012) Knock! Knock! Who is it? Probabilistic person identification in TV series. Conference on Computer and Pattern Recognition (CVPR)

  44. Twitter (2013) Using the twitter search API. https://dev.twitter.com/docs/using-search. Accessed May 2015

  45. Vatant B, Wick M (2012) GeoNames ontology. http://www.geonames.org/ontology/documentation.html. Accessed May 2015

  46. Vezzani R, Baltieri D, Cucchiara R (2013) People reidentification in surveillance and forensics: a survey. ACM Comput Surv 46(2):29. doi:10.1145/2543581.2543596

    Article  Google Scholar 

  47. Vila M, Bardera A, Xu Q (2013) Tsallis entropy-based information measures for shot boundary detection and keyframe selection. SIViP 7(3):507–520

    Article  Google Scholar 

  48. Viola P, Jones M (2004) Robust real-time face detection. Int J Comput Vis 57(2):137–154

    Article  Google Scholar 

  49. W3C 2004 Web Ontology Language. http://www.w3.org/TR/owl-features/. Accessed May 2015

  50. W3C (2008) Semantic Web Activity. SPARQL query language for RDF. http://www.w3.org/TR/rdf-sparql-query/. Accessed May 2015

  51. W3C Media Fragments Working Group (2010) Media fragments working group. http://www.w3.org/2008/WebVideo/Fragments, Accessed May 2015

  52. W3C (2012a) Media Fragments URI 1.0. http://www.w3.org/TR/media-frags/. Accessed May 2015

  53. W3C (2012b) W3C Media Annotation Working Group. Ontology for Media Resources 1.0. http://www.w3.org/TR/mediaont-10/. Accessed May 2015

  54. W3C (2014a) W3C Semantic Web. Activity Resource Description Framework 1.1 (RDF) http://www.w3.org/RDF/. Accessed May 2015

  55. W3C (2014b) W3C Semantic Web activity. RDF Schema 1.1. http://www.w3.org/TR/rdf-schema/. Accessed May 2015

  56. Wang T, Gong S, Zhu X, Wang S (2014) Person re-identification by video ranking. Proc. European Conference on Computer Vision (ECCV 2014)

Download references

Acknowledgments

The work presented in this paper has been funded in part by the European Union under the project Puzzled by Policy – CIP_ICT-2009-3bis and in part by the Spanish Government under the project TIN 2011-24598.

Author information

Authors and Affiliations

  1. Departamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, 38271, Santa Cruz de Tenerife, Spain

    Elena Sánchez-Nielsen & Francisco Chávez-Gutiérrez

  2. Parlamento de Canarias, Teobaldo Power 7, 38002, Santa Cruz de Tenerife, Spain

    Francisco Chávez-Gutiérrez

  3. SIANI – Universidad de Las Palmas de Gran Canaria, 35017, Gran Canaria, Spain

    Javier Lorenzo-Navarro & Modesto Castrillón-Santana

Authors
  1. Elena Sánchez-Nielsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francisco Chávez-Gutiérrez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Javier Lorenzo-Navarro
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Modesto Castrillón-Santana
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elena Sánchez-Nielsen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sánchez-Nielsen, E., Chávez-Gutiérrez, F., Lorenzo-Navarro, J. et al. A multimedia system to produce and deliver video fragments on demand on parliamentary websites. Multimed Tools Appl 76, 6281–6307 (2017). https://doi.org/10.1007/s11042-016-3306-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-3306-5

Keywords

Search

Navigation