Augmenting bag-of-words - Category specific features and concept reasoning

CEUR Workshop Proceedings

Volumn 1176, Issue , 2010, Pages

  Mbanya, Eugene ^a   Hentschel, Christian ^a   Gerke, Sebastian ^a   Liu, Mohan ^a   Nurnberger, Andreas ^b   Ndjiki Nya, Patrick ^a  

^a FRAUNHOFER HEINRICH HERTZ INSTITUTE   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BOW APPROACH; CATEGORY SPECIFICS; CLASSIFICATION PERFORMANCE; CLASSIFICATION PROCESS; CLASSIFICATION RESULTS; EXCLUSION RULE; POST CLASSIFICATION; SHARPNESS MEASURES;

CLASSIFICATION (OF INFORMATION);

EID: 84922042074     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. R. Ferzli and L.J. Karam. A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB). Image Processing, IEEE Transactions on, 18(4):717-728, April 2009.
2. S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyra-mid Matching for Recognizing Natural Scene Categories. In 2006 IEEE Com-puter Society Conference on Computer Vision and Pattern Recognition-Volume 2 (CVPR'06), pages 2169-2178. IEEE, 2006.
3. D. G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. Interna-tional Journal of Computer Vision, 60(2):91-110, November 2004.
4. S. Nowak and M. Huiskes. New Strategies for Image Annotation: Overview of the Photo Annotation Task at ImageCLEF 2010. In Working Notes of CLEF 2010, Padova, Italy, 2010.
5. J. Sivic and A. Zisserman. Video google: a text retrieval approach to object match-ing in videos. In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pages 1470-1477, April 2003.
6. C. G. M. Snoek and M. Worring. Concept-Based Video Retrieval. Foundations and Trends in Information Retrieval, 2(4):215-322, 2009.
7. S. Sonnenburg, G. Raetsch, S. Henschel, C. Widmer, J. Behr, A. Zien, F. de Bona, A. Binder, C. Gehl, and V. Franc. The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research, 11:1799-1802, Jun 2010.
8. K.E.a. van de Sande, T. Gevers, and C. G.M. Snoek. A comparison of color features for visual concept classification. Proceedings of the 2008 international conference on Content-based image and video retrieval-CIVR '08, page 141, 2008.
9. J. Zhang, M. Marsza lek, S. Lazebnik, and C. Schmid. Local Features and Ker-nels for Classification of Texture and Object Categories: A Comprehensive Study. International Journal of Computer Vision, 73(2):213-238, September 2006.