Dynamic vocabularies for web-based concept detection by trend discovery

MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Volumn , Issue , 2012, Pages 977-980

  Borth, Damian ^a   Ulges, Adrian ^b   Breuel, Thomas M ^a  

^a University of Koblenz Landau   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

concept detection; social media; trends; vocabulary

Indexed keywords

CONCEPT DETECTION; ON THE FLIES; SOCIAL MEDIA; TRENDS; VIDEO CONCEPT DETECTION; VISUAL CLASSIFICATION; VISUAL LEARNING; VOCABULARY; WIKIPEDIA; YOUTUBE;

WEBSITES;

EID: 84871400354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396361     Document Type: Conference Paper

References (15)

1. S. Ayache and G. Quenot. Video Corpus Annotation using Active Learning. In Proc. ECIR, 2008.
2. H. Becker, M. Naaman, and L. Gravano. Beyond Trending Topics: Real-world Event Identification on Twitter. In Proc. ICWSM, 2011.
3. R. Datta, D. Joshi, J. Li, and J. Wang. Tagging over Time: Real-world Image Annotation by Lightweight Meta-Learning. In Proc. Int. Conf. on Multimedia, pages 393-402, 2007.
4. N. Glance, M. Hurst, and T. Tomokiyo. Blogpulse: Automated Trend Discovery for Weblogs. In Workshop on the Weblogging Ecosystem: Aggregation, analysis and dynamics, 2004.
5. A. Hrishikesh, G. Toderici, and J. Yagnik. Video2Text: Learning to Annotate Video Content. In Proc. Int. Workshop on Internet Multimedia Mining, 2009.
6. Y.G. Jiang, C.W. Ngo, and S.F. Chang. Semantic Context Transfer across Heterogeneous Sources for Domain Adaptive Video Search. In Proc. Int. Conf on Multimedia, 2009.
7. H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media? In Proc. WWW, 2010.
8. Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, K. Yu, L. Cao, and T. Huang. Large-scale Image Classi cation: Fast Feature Extraction and SVM Training. In Proc. CVPR, 2011.
9. D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. Int. J. Comput. Vis., 60(2):91-110, 2004.
10. M. Naphade, J. Smith, J. Tesic, S. Chang, W. Hsu, L. Kennedy, A. Hauptmann, and J. Curtis. Large-Scale Concept Ontology for Multimedia. IEEE MultiMedia, 13(3):86-91, 2006.
11. P. Over, G. Awad, M. Michael, J.Fiscus, W. Kraaij, and A. Smeaton. Trecvid 2011 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In TRECVID, 2011.
12. C. Snoek and M. Worring. Concept-based Video Retrieval. Foundations and Trends in Inf. Retrieval, 4(2), 2009.
13. A. Ulges, M. Koch, D. Borth, and T. Breuel. TubeTagger - YouTube-based Concept Detection. In Proc. Int. Workshop on Internet Multimedia Mining, December 2009.
14. Adrian Ulges, Markus Koch, and Damian Borth. Linking Visual Concept Detection with Viewer Demographics . In Int. Conf. on Multimedia Retrieval (ICMR), 2012.
15. YouTube Press Statistics. available from youtube.com/t/press statistics (retrieved: Sep'11).