Abstract
In this chapter, an interactive framework is developed to enable personalized news video recommendation and allow news seekers to access large-scale news videos more effectively. First, multiple information sources (audio, video and closed captions) are seamlessly integrated and synchronized to achieve more reliable news topic detection, and the inter-topic contextual relationships are extracted automatically for characterizing the interestingness of the news topics more effectively. Second, topic network (i.e., news topics and their inter-topic contextual relationships) and hyperbolic visualization are seamlessly integrated to achieve more effective navigation and exploration of large-scale news videos at the topic level, so that news seekers can have a good global overview of large-scale collections of news videos at the first glance. Through a hyperbolic approach for interactive topic network visualization and navigation, large amounts of news topics and their contextual relationships are visible on the display screen, and thus news seekers can obtain the news topics of interest interactively, build up their mental search models easily and make better search decisions by selecting the visible news topics directly. Our system can also capture the search intentions of news seekers implicitly and further recommend the most relevant news videos according to their importance and representativeness scores. Our experiments on large-scale news videos (10 TV news programs for more than 3 months) have provided very positive results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Marchionini, G.: Information seeking in electronic environments. Cambridge University Press, Cambridge (1997)
Fan, J., Keim, D., Gao, Y., Luo, H., Li, Z.: JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Images. IEEE Trans. on Circuits and Systems for Video Technology 19(2), 273–288 (2009)
Yang, B., Mei, T., Hua, X.-S., Yang, L., Yang, S.-Q., Li, M.: Online video recommendation based on multimodal fusion and relevance feedback. In: ACM Conf. on Image and Video Retrieval (CIVR 2007), pp. 73–80 (2007)
Yang, H., Chaisorn, L., Zhao, Y., Neo, S.-Y., Chua, T.-S.: VideoQA: question answering on news video. ACM Multimedia, 632–641 (2003)
Borthwick, A., Sterling, J., Agichtein, E., Grishman, R.: NYU: Description of the MENE named entity system as used in MUC-7. In: Proc. of the Seventh Message Understanding Conf., MUC-7 (1998)
McDonald, D., Chen, H.: Summary in context: Searching versus browsing. ACM Trans. Information Systems 24(1), 111–141 (2006)
Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: Intl. Conf. on New Methods in Language Processing (1994)
A.I. Inc., “Lingpipe”, http://www.alias-i.com/lingpipe/
Swan, R.C., Allan, J.: TimeMine: visualizing automatically constructed timelines. In: ACM SIGIR (2000)
Havre, S., Hetzler, B., Whitney, P., Nowell, L.: ThemeRiver: Visualizing thematic changes in large document collections. IEEE Trans. on Visualization and Computer Graphics 8(1), 9–20 (2002)
Luo, H., Fan, J., Yang, J., Ribarsky, W., Satoh, S.: Large-scale new video classification and hyperbolic visualization. In: IEEE Symposium on Visual Analytics Science and Technology (VAST 2007), pp. 107–114 (2007)
Luo, H., Fan, J., Yang, J., Ribarsky, W., Satoh, S.: Exploring large-scale video news via interactive visualization. In: IEEE Symposium on Visual Analytics Science and Technology (VAST 2006), pp. 75–82 (2006)
van Wijk, J.: Bridging the gaps. IEEE Computer Graphics and Applications 26(6), 6–9 (2006)
Walter, J.A., Ritter, H.: On interactive visualization of high-dimensional data using the hyperbolic plane. In: ACM SIGKDD (2002)
Lamping, J., Rao, R.: The hyperbolic browser: A focus+content technique for visualizing large hierarchies. Journal of Visual Languages and Computing 7, 33–55 (1996)
Furnas, G.W.: Generalized fisheye views. In: ACM CHI, pp. 16–23 (1986)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: WWW (1998)
Wang, J., Chen, Z., Tao, L., Ma, W.-Y., Liu, W.: Ranking user’s relevance to a topic through link analysis on web logs. In: WIDM, pp. 49–54 (2002)
Lai, W., Hua, X.-S., Ma, W.-Y.: Towards content-based relevance ranking for video search. ACM Multimedia, 627–630 (2006)
Teevan, J., Dumais, S., Horvitz, E.: Personalized search via automated analysis of interests and activities. In: ACM SIGIR (2005)
Goldberg, K., Roeder, T., Gupta, D., Perkins, C.: Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4(2), 133–151 (2001)
Mooney, R., Roy, L.: Content-based book recommending using learning for text categorization. In: ACM Conf. on Digital Libraries, pp. 195–204 (2000)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Boston (1998)
Naphade, M., Smith, J.R., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A., Curtis, J.: Large-scale concept ontology for multimedia. IEEE Multimedia (2006)
Fan, J., Gao, Y., Luo, H.: Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation. IEEE Trans. on Image Processing 17(3) (2008)
Fan, J., Gao, Y., Luo, H., Jain, R.: Mining multi-level image semantics via hierarchical classification. IEEE Trans. on Multimedia 10(1), 167–187 (2008)
Fan, J., Luo, H., Gao, Y., Jain, R.: Incorporating concept ontology to boost hierarchical classifier training for automatic multi-level video annotation. IEEE Trans. on Multimedia 9(5), 939–957 (2007)
Fan, J., Yau, D.K.Y., Elmagarmid, A.K., Aref, W.G.: Automatic image segmentation by integrating color edge detection and seeded region growing. IEEE Trans. on Image Processing 10(10), 1454–1466 (2001)
Wactlar, H., Hauptmann, A., Gong, Y., Christel, M.: Lessons learned from the creation and deployment of a terabyte digital video library. IEEE Computer 32(2), 66–73 (1999)
Adams, W.H., Iyengar, G., Lin, C.-Y., Naphade, M.R., Neti, C., Nock, H.J., Smith, J.R.: Semantic indexing of multimedia content using visual, audio and text cues. EURASIP JASP 2, 170–185 (2003)
Naphade, M.R., Huang, T.S.: A probabilistic framework for semantic video indexing, filtering, and retrival. IEEE Trans. on Multimedia 3, 141–151 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Luo, H., Fan, J. (2010). A Human-Centered Computing Framework to Enable Personalized News Video Recommendation. In: Schonfeld, D., Shan, C., Tao, D., Wang, L. (eds) Video Search and Mining. Studies in Computational Intelligence, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12900-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-12900-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12899-8
Online ISBN: 978-3-642-12900-1
eBook Packages: EngineeringEngineering (R0)