skip to main content
10.1145/1743384.1743470acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
poster

The participation payoff: challenges and opportunities for multimedia access in networked communities

Authors Info & Claims
Published:29 March 2010Publication History

ABSTRACT

Increasingly, multimedia collections are associated with networked communities consisting of interconnected groups of users who create, annotate, browse, search, share, view, critique and remix collection content. Information arises within networked communities via connections among users and in the course of interactions between users and content. Community-derived information can be exploited to improve user access to multimedia. This paper provides a survey of techniques that make use of a combination of three information sources: community-contributed information (e.g., tags and ratings), network structure and techniques for multimedia content analysis. This triple synergy offers a wide range of opportunities for improving access to multimedia in networked communities. We focus our survey on three areas important for multimedia access: annotation, distribution and retrieval. The picture that emerges is promising: information derived from the social community is remarkably effective in improving access to multimedia content, and participation in networked communities has a high payoff.

References

  1. Boll, S. 2007. MultiTube - Where Web 2.0 and Multimedia Could Meet. IEEE MultiMedia 14, 1 (Jan. 2007), 9--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Trant, J. 2009. Studying social tagging and folksonomy: a review and framework. Journal of Digital Information 10,1.Google ScholarGoogle Scholar
  3. de Jong, F. M. G., Westerveld, T., and de Vries, A.P. 2007. Multimedia search without visual analysis: the value of linguistic and contextual information. IEEE Transactions on Circuits and Systems for Video Technology 17, 3, 365--371. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Smeulders, A. W., Worring, M., Santini, S., Gupta, A., and Jain, R. 2000. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22, 12 (Dec. 2000), 1349--1380. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Tsagkias, M., Larson, M., and de Rijke, M. 2008. Term clouds as surrogates for user generated speech. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Singapore, Singapore, July 20 - 24, 2008). SIGIR '08. ACM, New York, NY, 773--774. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Zweig, G., Makhoul, J., Stolke, A., August 2006. Introduction to the special section on rich transcription. IEEE Trans. On Audio, Speech, and Lang. Proc. 14, 5, 1490--1491. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Larson, M., Newman, E., Jones, G. 2009. Overview of VideoCLEF 2008: Automatic generation of topic-based feeds for dual language audio-visual content. In Peters, C. et al., (eds.) Evaluating Systems for Multilingual and Multimodal Information Access, CLEF 2008 Revised Selected Papers, LNCS 5706, 906--917. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Hauptmann, G., Christel, M. G., and Yan, R. 2008. Video retrieval based on semantic concepts. Proceedings of the IEEE 96, 4, (April 2008), 602--622.Google ScholarGoogle Scholar
  9. Snoek, C. G. M. and Worring, M. 2009. Concept-based video retrieval. Foundations and Trends in Information Retrieval 2, 4, (2009), 215--322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Mylonas, P., Spyrou, E., Avrithis, Y., and Kollias, S. 2009. Using visual context and region semantics for high-level concept detection. IEEE Trans. on Multimedia 1, 2 (Feb. 2009) 229--243. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Lin, Y.-R., Sundaram, H., De Choudhury, M., and Kelliher, A. 2009. Temporal patterns in social media streams: theme discovery and evolution using joint analysis of content and context. In Proceedings of the Int. Conf. on Multimedia and Expo (New York, NY, Jun./Jul. 2009) ICME 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. R. Glasberg, S. Schmiedeke, P. Kelm, T. Sikora. 2008. An automatic system for real-time video-genres detection using high-level descriptions and a set of classifiers. Proceedings of the 12th IEEE Int. Symp. on Consumer Electronics (Algarve, Portugal, April 2008) ISCE 2008.Google ScholarGoogle ScholarCross RefCross Ref
  13. Li, J. and Wang, J.Z. 2008. Real-time computerized annotation of pictures. IEEE Trans. on Pattern Analysis and Machine Intelligence 30, 6 (June 2008), 985--1002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Cai, R., Lu, L., Hanjalic, A., Zhang, H.-J., and Cai, L.-H. 2006. A flexible framework for key audio effects detection and auditory context inference. IEEE Trans. on Audio, Speech, and Language Processing 14, 3, 1026--1039. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Wactlar, H. D., Hauptmann, A. G., Christel, M. G., Houghton, R. A., and Olligschlaeger, A. M. 2000. Complementary video and audio analysis for broadcast news archives. Comm. of the ACM 43, 2 (Feb. 2000), 42--47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Hsu, W. H., Kennedy, L. S., and Chang, S. 2006. Video search reranking via information bottleneck principle. In Proceedings of the 14th Annual ACM International Conf. on Multimedia (Santa Barbara, CA, USA, October 23 - 27, 2006). MULTIMEDIA '06. ACM, New York, NY, 35--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Hanjalic, A. April 2006. Extracting moods from pictures and sounds: towards truly personalized TV. Signal Processing Magazine, IEEE 23, 2, 90--100.Google ScholarGoogle Scholar
  18. Cavet, R., Volmer, S., Leopold, E., Kindermann, J., and Paass, G. 2004. Revealing the connoted visual code: a new approach to video classification. Computers & Graphics 28, 3, 361--369.Google ScholarGoogle ScholarCross RefCross Ref
  19. Sharma, A., Hua, G., Liu, Z. and Zhang, Z. 2008. Meta-tag propagation by co-training an ensemble classifier for improving image search relevance, Proceedings of the IEEE CVPR Workshop on Internet Vision (Anchorage AK, USA, June 2008). CVPR 2008.Google ScholarGoogle Scholar
  20. Siersdorfer, S., San Pedro, J., and Sanderson, M. 2009. Automatic video tagging using content redundancy. In Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Boston, MA, USA, July 19 - 23, 2009). SIGIR '09. ACM, New York, NY, 395--402. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Li, X., Snoek, C. G. M. and Worring, M. 2009. Learning social tag relevance by neighbor voting, IEEE Trans. On Multimedia 11, 7 (Nov. 2009), 1310--1322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Cattuto, C., Benz, D., Hotho, A., and Stumme, G. 2008. Semantic analysis of tag similarity measures in collaborative tagging systems. In Proc. of the 3rd Workshop on Ontology Learning and Population. (Patras, Greece, July 2008) OLP3.Google ScholarGoogle Scholar
  23. Kliegr, T., Chandramouli, K., Nemrava, J., Svatek, V. and Izquierdo, E. 2008. Combining image captions and visual analysis for image concept classification. In Proceedings of the 9th Int. Workshop on Multimedia Data Mining. (Las Vegas, Aug 2008). MDM/KDD 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Clements, M., de Vries, A. P., and Reinders, M. J. 2008. Detecting synonyms in social tagging systems to improve content retrieval. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Singapore, Singapore, July 20 - 24, 2008). SIGIR '08. ACM, New York, NY, 739--740. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Garg, N. and Weber, I. 2008. Personalized, interactive tag recommendation for Flickr. In Proceedings of the 2008 ACM Conference on Recommender Systems (Lausanne, Switzerland, October 23 - 25, 2008). RecSys '08. ACM, New York, NY, 67--74. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Sigurbjörnsson, B. and van Zwol, R. 2008. Flickr tag recommendation based on collective knowledge. In Proceeding of the 17th International Conference on World Wide Web (Beijing, China, April 21 - 25, 2008). WWW '08. ACM, New York, NY, 327--336. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Marlow, C., Naaman, M., Boyd, D., and Davis, M. 2006. Position Paper, Tagging, Taxonomy, Flickr, Article, To Read. In Proc. of the Collab. Web Tagging Workshop at WWW'06.Google ScholarGoogle Scholar
  28. Von Ahn, L. and Dabbish, L. 2004. Labeling images with a computer game. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (New York, NY, USA). CHI '04. ACM Press, 319--326. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Von Ahn, L., Liu, R., and Blum, M. 2006. Peekaboom: a game for locating objects in images. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (New York, NY, USA). CHI '06. ACM, 55--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Von Ahn, Ginosar, S., Kedia, M., Liu, R. and Blum, M. 2006. Improving accessibility of the web with a computer game. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (New York, NY, USA, 2006). CHI '06. ACM, 79--82. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Russell, B. C., Torralba, A., Murphy, K. P., and Freeman, W. T. 2008. LabelMe: A database and web-based tool for image annotation. Int. J. Comput. Vision 77, 1-3, 157--173. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Ogata, J. and Goto, M. 2009. PodCastle: Collaborative training of acoustic models on the basis of wisdom of crowds for podcast transcription. In Proceedings of Interspeech 2009 - 10th Annual Conference of the International Speech Communication Association, 1491--1494.Google ScholarGoogle Scholar
  33. Petridis, S. and Pantic M. 2008. Audiovisual laughter detection based on temporal features. In Proceedings of the Int. Conf. on Multimodal Interfaces, (Chania, Crete, Greece, October 2008), 37--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Soleymani, M., Chanel, G., Kierkels J., and Pun, T. 2008. Affective characterization of movie scenes based on multimedia content analysis and user's physiological emotional responses. In Proceedings of the Int. Symposium on Multimedia (Berkeley, CA, Dec. 15-17, 2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Yazdani, A., Lee, J.-S., and Ebrahimi, T. 2009. Implicit emotional tagging of multimedia using EEG signals and brain computer interface. In Proceedings of the ACM Multimedia Workshop on Social Media. (Beijing, China). Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Koelstra, S., Muehl, C., and Patras, I. 2009. EEG analysis for implicit tagging of video data. In Proc. of the Workshop on Affective Brain-Computer Interfaces, Proc. ACII, 27--32.Google ScholarGoogle Scholar
  37. Gallagher, A. and Chen, T. 2009. Understanding Images of Groups of People, IEEE Conference on Computer Vision and Pattern Recognition 2009.Google ScholarGoogle Scholar
  38. Melenhorst, M., Grootveld, M., van Setten, M., and Veenstra, M. 2008. Tag-based information retrieval of video content. In Proceeding of the 1st international Conference on Designing interactive User Experiences For TV and Video (Silicon Valley, CA, Oct. 22-24, 2008). UXTV '08, vol. 291. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Nguyen, T., Kolazhi, K. Kamath, R., Cheung, S. S. and Tran, D. A. 2008. Efficient multimedia distribution in source constraint networks. IEEE Trans. on Multimedia 10, 3 (Apr. 2008), 523--537. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Androutsellis-Theotokis, S. and Spinellis, D. 2004. A survey of peer-to-peer content distribution technologies. ACM Computing Surveys 36, 4 (2004) 335--371. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Ramzan, N., Zgaljic, T., and Izquierdo, E. 2009. An efficient optimisation scheme for scalable surveillance centric video communications. Signal Processing: Image Communication 24, 6 (July 2009), 510--523. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Ramzan N. and Izquierdo, E. 2009. Scalable video coding as basis for networked media internet. In Proceedings of the European Commission NEM Summit Towards Future Media Internet. (Saint-Malo, France, Sept. 2009).Google ScholarGoogle Scholar
  43. Ramzan, N. and Izquierdo, E. 2009. An optimised error protection scheme for wavelet based scalable video. In Proc. of Latin American Conference on Networked Electronic Media (Bogota, Columbia, Aug. 2009). LACNEM.Google ScholarGoogle Scholar
  44. Baccichet, P., Schierl, T., Wiegand T., and Girod, B. 2007. Low-delay peer-to-peer streaming using scalable video coding. In Proceedings of the 16th International Packet Video Workshop (Lausanne, Switzerland, Nov. 2007).Google ScholarGoogle Scholar
  45. Li, H. and Chen, G. 2007. Data persistence in structured P2P networks with redundancy schemes. In Proceedings of the Sixth International Conference of Grid and Cooperative Computing (Los Alamitos, CA, 2007). GCC. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Palomar, E., Estevez-Tapiador, J. M., Hernandez-Castro, J. C., and Ribagorda, A. 2006. A protocol for secure content distribution in pure P2P networks. In Proceedings of the 17th International Conference on Database and Expert Systems Applications. DEXA'06. 712--716. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. De Simone, F., Naccari, M., Tagliasacchi, M., Dufaux, F., Tubaro, S., and Ebrahimi, T. 2009. Subjective assessment of H.264/AVC video sequences transmitted over a noisy channel. In Proceedings of the First International Workshop on Quality of Multimedia Experience (2009). QoMEX.Google ScholarGoogle Scholar
  48. Mathieu, B. 2008. A network and QoE aware P2P video streaming solution. In Proc. of the 8th Int. Conference on New Technologies in Distributed Systems (Lyon, France, June 23 - 27, 2008). NOTERE '08. ACM, NY, NY, 1--9. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Smith, M., Barash, V., Getoor, L., and Lauw, H. W. 2008. Leveraging social context for searching social media. In Proceedings of the 2008 ACM Workshop on Search in Social Media (Napa Valley, California, USA, October 26-30, 2008). SSM '08. ACM, New York, NY, 91--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Shirky, C., 2008. Here Comes Everybody: The Power of Organizing Without Organizations. The Penguin Press HC.Google ScholarGoogle Scholar
  51. Evans, B. M. and Chi, E. H. 2008. Towards a model of understanding social search. In Proceedings of the ACM 2008 Conference on Computer Supported Cooperative Work (San Diego, CA, USA, November 08 - 12, 2008). CSCW '08. ACM, New York, NY, 485--494. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Agichtein, E., Hearst, M. A., and Soboro, I. 2009. The Search and Social Media Workshop at SIGIR 2009. SIGIR Forum 43, 2 (Dec. 2009), 53--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Marchand-Maillet, S., Vries, A. P., and Naaman, M. 2009. Workshop on Information Retrieval over Social Networks. In Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval (Toulouse, France, April 06 - 09, 2009) 803. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Boll, S., Hoi, S. C., Luo, J., Jin, R., King, I., and Xu, D. 2009. First ACM SIGMM International Workshop on Social Media. WSM'09. In Proceedings of the 17th ACM International Conference on Multimedia (Beijing, China, October 19 - 24, 2009), MM '09. ACM, New York, NY, 1161--1162. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Haythornthwaite, C. 1996. Social network analysis: An approach and technique for the study of information exchange. Library & Information Science Research. 18, 4 (Autumn 1996), 323--342.Google ScholarGoogle ScholarCross RefCross Ref
  56. Newman, M. E. J. 2003. The structure and function of complex networks, SIAM Review 45, 167--256.Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Leskovec, J., Lang, K. J., Dasgupta, A., and Mahoney, M. W. 2008. Statistical properties of community structure in large social and information networks. In Proceedings of the 17th International Conference on World Wide Web (Beijing, China, April 21 - 25, 2008). WWW '08. ACM, New York, NY, 695--704. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Li, C. and Bernoff, J. 2008. Groundswell: Winning in a World Transformed by Social Technologies. 1st Edition. Harvard Business School Press.Google ScholarGoogle Scholar
  59. Agichtein, E., Brill, E., and Dumais, S. 2006. Improving web search ranking by incorporating user behavior information. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Seattle, Washington, USA, August 06 - 11, 2006). SIGIR '06. ACM, New York, NY, 19--26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Xue, G., Zeng, H., Chen, Z., Yu, Y., Ma, W., Xi, W., and Fan, W. 2004. Optimizing web search using web click-through data. In Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management (Washington, D.C., USA, November 08 - 13, 2004). CIKM '04. ACM, New York, NY, 118--126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Craswell, N. and Szummer, M. 2007. Random walks on the click graph. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Amsterdam, Netherlands, July 23 - 27, 2007). SIGIR '07. ACM, New York, NY, 239--246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Müller, H., Müller, W., Squire, D., Marchand-Maillet, S., and Pun, T. 2000. Long-term learning from user behavior in content-based image retrieval. Tech. report. University of Geneva 2000.Google ScholarGoogle Scholar
  63. Marchand-Maillet, S. and Bruno, E. 2003. Exploiting user interaction for semantic content-based image retrieval. Tech. report. Computer Vision and Multimedia Laboratory, Computing Centre, University of Geneva.Google ScholarGoogle Scholar
  64. Huurnink, B., Hollink, L., van den Heuvel, W., and de Rijke. M. 2010. The Search Behavior of Media Professionals at an Audiovisual Archive: A Transaction Log Analysis. Journal of the American Society for Information Science and Technology. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  65. Hopfgartner, F., Vallet, D., Halvey, M., and Jose, J. 2008. Search trails using user feedback to improve video search. In Proceedings of the 16th ACM International Conference on Multimedia (Vancouver, British Columbia, Canada, October 26 - 31, 2008). MM '08. ACM, New York, NY, 339--348. Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. Davis, S. J., Ritz, C. H., and Burnett, I. S. 2009. Using social networking and collections to enable video semantics acquisition. IEEE MultiMedia 16, 4, 52--61. Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Yamamoto, D., Masuda, T., Ohira, S., and Nagao, K. 2008. Video scene annotation based on web social activities. IEEE MultiMedia 15, 3 (Jul. 2008), 22--32. Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Shardanand U. and Maes P. 1995. Social information filtering: algorithms for automating 'word of mouth'. In Proceedings of SIGCHI, (Denver, Colorado, 1995), 210--217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. Kazai, G. and Milic-Frayling, N. 2008. Trust, authority and popularity in social information retrieval. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (Napa Valley, California, USA, October 26 - 30, 2008). CIKM '08. ACM, New York, NY, 1503--1504. Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. Golbeck, J. and Hendler, J. 2006. Inferring binary trust relationships in web-based social networks. ACM Trans. Internet Technol. 6, 4 (Nov. 2006), 497--529. Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Daylamani Zad, D. and Agius, H. 2009. Multimedia Metadata 2.0: Challenges of collaborative content modeling. Advances in Semantic Media Adaptation and Personalization 2, M.C. Angelides, M. Wallace and P. Mylonas, Eds. CRC Press, Boca Raton, FL, USA, 1--20.Google ScholarGoogle Scholar
  72. Resnick P., Iacovou N., Suchak M., Bergstorm P., and Riedl J. Grouplens: An open architecture for collaborative filtering of netnews. In the Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, (Chapel Hill, North, Carolina, 1994) ACM, 175--186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Adomavicius, G. and Tuzhilin, A. 2005. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering (Jun. 2005), 734--749. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. Linden, G., Smith, B., and York, J. 2003. Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing 7, 1 (Jan./Feb. 2003), 76--80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. Yoshii, K., Goto, M., Komatani, K., Ogata, T., and Okuno, H. G. 2008. An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model. Audio, Speech, and Language Processing, IEEE Transactions on. 16, 2, 435--447. Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. Wang J., Clements M., Yang, J., de Vries, A. P. and Reinders, M. J. T. 2010. Personalization of tagging systems. Information Processing and Management 46, 58--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. Marchand-Maillet, S., Szekely, E., and Bruno, E. 2009. Optimizing strategies for the exploration of social-networks and associated data collections. In Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services. (London, UK). WIAMIS'09.Google ScholarGoogle Scholar
  78. Clements, M., de Vries, A. P., and Reinders, M. J. T. 2008. Optimizing single term queries using a personalized Markov random walk over the social graph. Proceedings of the Workshop on Exploiting Semantic Annotations in Information Retrieval (March 2008). ESAIR.Google ScholarGoogle Scholar
  79. Hardman, L., Obrenović, Ž., Nack, F., Kerhervé, B., Piersol, K. 2008. Canonical processes of semantically annotated media production. Multimedia Systems, 14, 6, (December 2008) 327--340.Google ScholarGoogle Scholar
  80. Kennedy, L., Naaman, M., Ahern, S., Nair, R., and Rattenbury, T. 2007. How Flickr helps us make sense of the world: context and content in community-contributed media collections. In Proceedings of the 15th International Conference on Multimedia (Augsburg, Germany, September 25 - 29, 2007). MULTIMEDIA '07. ACM, New York, NY, 631--640. Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. Serdyukov, P., Murdock, V., and van Zwol, R. 2009. Placing Flickr photos on a map. In Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Boston, MA, USA, July 19 - 23, 2009). SIGIR '09. ACM, New York, NY, 484--491. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. Kirsch, S. M., Gnasa, M., Won, M., and Cremers, A. B. 2007. From page rank to social rank: Authority-based retrieval in social information spaces. In Social information retrieval systems: Emerging technologies and applications for searching the web effectively. D. H.Gohand S. Foo (eds.), Idea Group Inc., 2007.Google ScholarGoogle Scholar
  83. Bian, J., Liu, Y., Agichtein, E., and Zha, H. 2008. A few bad votes too many?: Towards robust ranking in social media. In Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web (Beijing, China, April 22 - 22, 2008). C. Castillo, K. Chellapilla, and D. Fetterly, (eds.) AIRWeb '08, 295. ACM, NY, NY, 53--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. Bian, J., Liu, Y., Zhou, D., Agichtein, E., and Zha, H. 2009. Learning to recognize reliable users and content in social media with coupled mutual reinforcement. In Proceedings of the 18th International Conference on World Wide Web (Madrid, Spain, April 20 - 24, 2009). WWW '09. ACM, New York, NY, 51--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. Lew, M. S., Sebe, N., Djeraba, C., and Jain, R. 2006. Content-based multimedia information retrieval: state of the art and challenges. ACM Trans. Multimedia Comput. Commun. Appl. 2, 1, 1--19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. Kankanhalli, M. S., and Rui, Y. March 2008. Application potential of multimedia information retrieval. Proceedings of the IEEE 96, 4, 712--720.Google ScholarGoogle ScholarCross RefCross Ref
  87. Jain, R. 2008. Multimedia information retrieval: watershed events. In Proceeding of the 1st ACM International Conference on Multimedia Information Retrieval (MIR '08) ACM, New York, NY, USA, 229--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. Halvey, M. J. and Keane, M. T. 2007. Exploring social dynamics in online media sharing. In Proceedings of the 16th International Conference on World Wide Web (Banff, Alberta, Canada, May 08 - 12, 2007). WWW '07. ACM, New York, NY, 1273--1274. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. The participation payoff: challenges and opportunities for multimedia access in networked communities

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              MIR '10: Proceedings of the international conference on Multimedia information retrieval
              March 2010
              600 pages
              ISBN:9781605588155
              DOI:10.1145/1743384

              Copyright © 2010 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 29 March 2010

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • poster

              Upcoming Conference

              MM '24
              MM '24: The 32nd ACM International Conference on Multimedia
              October 28 - November 1, 2024
              Melbourne , VIC , Australia

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader