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Towards computer-vision software tools to increase production and accessibility of video description for people with vision loss

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Abstract

This paper presents the status of a R&D project targeting the development of computer-vision tools to assist humans in generating and rendering video description for people with vision loss. Three principal issues are discussed: (1) production practices, (2) needs of people with vision loss, and (3) current system design, core technologies and implementation. The paper provides the main conclusions of consultations with producers of video description regarding their practices and with end-users regarding their needs, as well as an analysis of described productions that lead to propose a video description typology. The current status of a prototype software is also presented (audio-vision manager) that uses many computer-vision technologies (shot transition detection, key-frame identification, key-face recognition, key-text spotting, visual motion, gait/gesture characterization, key-place identification, key-object spotting and image categorization) to automatically extract visual content, associate textual descriptions and add them to the audio track with a synthetic voice. A proof of concept is also briefly described for a first adaptive video description player which allows end users to select various levels of video description.

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References

  1. Canadian Radio-television and Telecommunications Communication: Broadcasting Decision CRTC 2002-384. http://www.crtc.gc.ca/archive/ENG/Decisions/2002/db2002-384.htm (2002)

  2. Piety, P.J.: The language system of audio description: an investigation as a discursive process. J. Vis. Impair. Blind. 98(8), 1–36 (2004)

    Google Scholar 

  3. Turner, J.M.: Some characteristics of audio description and the corresponding moving image. In: Preston, C.M., Medford, N.J. (eds.) Proceedings of the 61st ASIS Annual Meeting, Pittsburgh, 24–29 October 1998, Information Today, pp. 108–117 (1998)

  4. Turner, J.M., Colinet, E.: Using audio description for indexing moving images. Knowl. Org. 31(4), 222–230 (2004)

    Google Scholar 

  5. Office of Communication: ITC guidance on standards for audio description. http://www.ofcom.org.uk/static/archive/itc/itc_publications/codes_guidance/audio_description/index.asp.html (2000)

  6. Canadian Network for Inclusive Cultural Exchange: Online video description guidelines. http://cnice.utoronto.ca/guidelines/video.php (2005)

  7. Guidelines for video description. http://www.joeclark.org/access/description/ad-principles.html

  8. Mathieu, S.: Audiovision Interactive et Adaptable, Technical Report for the E-inclusion Research Network (2007)

  9. Gagnon, L., Foucher, S., Laliberté, F., Lalonde, M., Beaulieu, M.: Towards an application of content-based video indexing to computer-assisted descriptive video. In: Proceedings of Computer and Robot Vision 2006, 8 pp (on CD-ROM) (2006)

  10. Héritier, M., Gagnon, L., Foucher, S.: Places clustering of full-length film key-frames using latent aspects modeling over SIFT matches. IEEE Trans. Circuits Syst. Video Technol. (to appear) (2008)

  11. Foucher, S., Gagnon, L.: Automatic detection and clustering of actor faces based on spectral clustering techniques. In: Proceedings of Computer and Robot Vision 2007, 8 pp (on CD-ROM) (2007)

  12. Lalonde, M., Gagnon, L.: Key-text spotting in documentary videos using Adaboost. In: Proceedings of the IS&T/SPIE Symposium on Electronic Imaging: Applications of Neural Networks and Machine Learning in Image Processing X (SPIE #6064B) (2006)

  13. Branje, C., Marshall, S., Tyndall, A., Fels, D.I.: LiveDescribe. In: Proceedings of the AMCIS 2006 (2006)

  14. TRECVID. http://www-nlpir.nist.gov/projects/trecvid/

  15. State-of-the-art on Multimedia Search Engines, Technical Report D2.1. Chorus Project Consortium (2007)

  16. CIMWOS project. http://www.xanthi.ilsp.gr/cimwos

  17. SCHEMA network of excellence. http://www.iti.gr/SCHEMA/index.html

  18. VIZIR project. http://vizir.ims.tuwien.ac.at/index.html

  19. Center for Digital Video Processing. http://www.cdvp.dcu.i.e

  20. CALIPH and EMIR project. http://caliph-emir.sourceforge.net

  21. IBM VideoAnnEx project. http://www.research.ibm.com/VideoAnnEx

  22. Ricoh MovieTool project. http://www.ricoh.co.jp/src/multimedia/MovieTool

  23. IBM Marvel project. http://mp7.watson.ibm.com/marvel

  24. MADIS project. http://madis.crim.ca

  25. Gagnon, L., Foucher, S., Gouaillier, V., Brousseau, J., Boulianne, G., Osterrath, F., Chapdelaine, C., Brun, C., Dutrisac, J., St-Onge, F., Champagne, B., Lu, X.: MPEG-7 Audio-Visual Indexing Test-Bed for Video Retrieval, IS&T/SPIE Electronic Imaging 2004: Internet Imaging V (SPIE #5304), pp. 319–329 (2003)

  26. Foucher, S., Héritier, M., Lalonde, M., Byrns, D., Chapdelaine, C., Gagnon, L.: Proof-of-concept software tools for video content extraction applied to computer-assisted descriptive video, and results of consultations with producers, technical report, CRIM-07/04-07, 2007 (2007)

  27. Mathieu, S., Turner, J.M.: Audiovision interactive et adaptable, technical report, 2007. http://hdl.handle.net/1866/1307 (2007)

  28. Turner, J.M., Mathieu, S.: Audio description for indexing films, World Library and Information Congress (IFLA), Durban. http://members.e-inclusion.crim.ca/files/articles/IFLA-en.pdf (2007)

  29. Fels, D.I., Udo, J.P., Diamond, J.E., Diamond, J.I.: A first person narrative approach to video description for animated comedy. J. Vis. Impair. Blind. 100(5), 295–305 (2006)

    Google Scholar 

  30. Vendrig, J., Worring, M.: Systematic evaluation of logical story unit segmentation. IEEE Trans. Multimed. 4(4), 492–499 (2000)

    Article  Google Scholar 

  31. Bovik, A.C. (ed.): Handbook of Image and Video Processing. Academic Press, New York (2000)

  32. Schaffalitzky, F., Zisserman, A.: Automated location matching in movies. Comput. Vis. Image Underst. 42:236–264 (2003)

    Google Scholar 

  33. Hofmann, T.: Probabilistic Latent Semantic Indexing. In: SIGIR (1999)

  34. Bosch, A., Zisserman, A., Munoz, S.: Scene Classification via pLSA. In: ECCV (2006)

  35. Quelhas, P., Monay, F., Odobez, J.M., Gatica-Perez, D., Tuytelaars, T., Van Gool, L.: Modeling Scenes with Local Descriptors and Latent Aspects. In: ICCV (2005)

  36. Fei-Fei, L., Perona, P.: A Bayesian Hierarchical Model for Learning Natural Scene Categories. In: CVPR (2005)

  37. Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering objects categories in image collection, MIT AI Lab Memo AIM-2005-005 (2005)

  38. Lowe, D.G.: Distinctive Image Features from Scale-invariant Keypoints. In: IJCV (2004)

  39. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    Article  MATH  Google Scholar 

  40. Ng, A.Y., Jordan, M., Weiss, Y.: On Spectral Clustering: Analysis and an Algorithm. In: NIPS (2002)

  41. Viola, P., Jones, M.: Robust real-time face detection. IJCV 57(2) (2004)

  42. Gagnon, L., Laliberté, F., Foucher, S., Laurendeau, D., Branzan Albu, A.: A System for Tracking and Recognizing Pedestrian Faces using a Network of Loosely Coupled Cameras, SPIE Defense and Security: Visual Information Processing XV (SPIE #6246), Orlando (2006)

  43. Yang, J., Zhang, D., Frangi, A.F., Yanf, J.: Two-dimensional PCA: a new approach to appearance-based face representation and recognition. Trans. Pattern Anal. Mach. Intell. 26(1), 131–137 (2004)

    Article  Google Scholar 

  44. Kong, H., Li, X., Wang, L., Teoh, E.K., Wang, J.G., Venkateswarlu, R.: Generalized 2D principal component analysis. In: IEEE International Joint Conference on Neural Networks (IJCNN) (2005)

  45. Zhang, D., Zhou, Z.H., Chen, S.: Diagonal principal component analysis for face recognition. Pattern Recognit. 39(1), 140–142 (2006)

    Article  Google Scholar 

  46. Sato, T., Kanade, T., Hughes, E.K., Smith, M.A., Satoh, S.: VideoOCR: indexing digital news libraries by recognition of superimposed caption. ACM J. Multime. Syst. 7(5), 385–395 (1999)

    Article  Google Scholar 

  47. Lienhart, R., Wernicke, A.: Localizing and segmenting text in images and videos. IEEE Trans. Circuits Syst. Video Technol. 12(4), 256–268 (2002)

    Article  Google Scholar 

  48. Chen, X., Yuille, A.L.: Detecting and Reading Text in Natural Scenes. In: CVPR, vol. II, pp. 366–373 (2004)

  49. http://www.up.univ-mrs.fr/veronis/data/bigrammes.html

  50. Ouellet, D., Nguyen, N.T., Dung, V.V., Laurendeau, D.: Gait and Gesture Description, Technical Report, Laval University (2007)

  51. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)

  52. Tomasi, C., Kanade, T.: Detection and Tracking of Point Features, Carnegie Mellon University Technical Report CMU-CS-91-132 (1991)

  53. Birchfield, S.: KLT: an Implementation of the Kanade-Lucas-Tomasi Feature Tracker. http://www.ces.clemson.edu/~stb/klt

  54. Bailer, W., Schallauer, P., Thallinger, G.: Camera Motion Detection, Joanneum Research. In: TRECVID (2005)

  55. Birchfield, S.: Derivation of Kanade-Lucas-Tomasi Tracking Equation. http://www.ces.clemson.edu/~stb/klt/birchfield-klt-derivation.pdf (unpublished) (1997)

  56. Bezdec, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York (1981)

  57. Rote, G.: Computing the minimum Hausdorff distance between two point sets on a line under translation. Inf. Process. Lett. 38, 123–127 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  58. AVISynth. http://avisynth.org

Download references

Acknowledgments

This work is supported in part by the Department of Canadian Heritage (http://www.pch.gc.ca) through Canadian Culture Online, and the Ministère du développement économique, de l’innovation et de l’exportation (MDEIE) of the Gouvernement du Québec (http://www.mdeie.gouv.qc.ca). The authors are very grateful to the reviewers for their constructive comments, which helped improve the quality of the paper.

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Authors and Affiliations

  1. R&D Department, Computer Research Institute of Montreal (CRIM), 550 Sherbrooke West, Suite 100, Montreal, QC, H3A 1B9, Canada

    Langis Gagnon, Samuel Foucher, Maguelonne Heritier, Marc Lalonde, David Byrns & Claude Chapdelaine

  2. École de bibliothéconomie et des sciences de l’information, Université de Montréal, Montreal, QC, H3C 3J7, Canada

    James Turner & Suzanne Mathieu

  3. Department of Electrical and Computer Engineering, Laval University, Quebec, QC, G1K 7P4, Canada

    Denis Laurendeau, Nath Tan Nguyen & Denis Ouellet

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  1. Langis Gagnon
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  2. Samuel Foucher
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  3. Maguelonne Heritier
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  4. Marc Lalonde
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  11. Denis Ouellet
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Correspondence to Langis Gagnon.

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Gagnon, L., Foucher, S., Heritier, M. et al. Towards computer-vision software tools to increase production and accessibility of video description for people with vision loss. Univ Access Inf Soc 8, 199–218 (2009). https://doi.org/10.1007/s10209-008-0141-0

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