Multi-level local descriptor quantization for bag-of-visterms image representation

Proceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007

Volumn , Issue , 2007, Pages 242-249

  Quelhas, Pedro ^a   Odobez, Jean Marc ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

Bag of visterms; Bag of words; Images; Local descriptors; Quantization; Scene classification; Vision; Vocabularies

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; INFORMATION ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

BAG-OF-VISTERMS; IMAGE REPRESENTATION; LOCAL DESCRIPTORS; MULTI-LEVEL QUANTIZATION; SCENE CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 36849058750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1282280.1282319     Document Type: Conference Paper

References (25)

1. A. Bosch, A. Zisserman, and X. Munoz. Scene classification via, PLSA. In In Proceedings of the European Conference on Computer Vision (ECCV), Graz, Austria, May 2006.
2. C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
3. A. de Vries. Content and multimedia database management systems. PhD thesis, Twente University, 1999.
4. G. Dorko and C. Schmid. Selection of scale invariant parts for object class recognition. In Proceedings of IEEE International Conference on Computer Vision (ICCV), Nice, Oct. 2003.
5. L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In In Proceedings of IEEE Conference in Computer Vision and Pattern Recognition (CVPR), San Diego, Jun. 2005.
6. K. Grauman and T. Darrell. The pyramid match kernel: Discriminative classification with sets of image features. In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2005.
7. F. Jurie and B. Triggs. Creating efficient codebooks for visual recognition. In Proceedings of IEEE International Conference on Computer Vision (ICCV), volume 1, pages 604-610, 2005.
8. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In In Proc. of IEEE CVPR, 2006.
9. B. Leibe, K. Mikolajczyk, and B. Schiele. Efficient clustering and matching for object class recognition. In In Proceedings of British Machine Vision Conference (BMVC), 2006.
10. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
11. J. Matas, O. Chum, U. Martin, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In Proceedings of the British Machine Vision Conference, Cardiff, Sep. 2002.
12. K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection with a generative model. In Proceedings of IEEE CVPR, New York, June 2006.
13. K. Mikolajczyk and C. Schmid. An affine invariant interest point detector. In In Proceeding of European Conference Computer Vision, 2002.
14. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Toronto, June 2003.
15. A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42:145-175, 2001.
16. S. Paek and C. S.-F. A knowledge engineering approach for image classification based on probabilistic reasoning systems. In Proceedings of IEEE International Conference on Multimedia and Expo, New York, Aug. 2000.
17. P. Quelhas, F. Monay, J.-M. Odobez, D. Gatica-Perez, T. Tuytelaars, and L. V. Gool. Modeling scenes with local descriptors and latent aspects. In In Proceedings of IEEE International Conference on Computer Vision (ICCV), Beijing, Oct. 2005.
18. J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, and W. T. Freeman. Discovering objects and their location in image collections. In Proceedings of IEEE International Conference on Computer Vision, Beijing, October 2005.
19. J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In Proceedings of IEEE International Conference on Computer Vision, Nice, October 2003.
20. A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349-1380, 2000.
21. M. Szummer and R. Picard. Indoor-outdoor image classification. In IEEE International CAIVD Workshop caivd (part of ICCV'98), Bombay, January 1998.
22. A. Vailaya, M. Figueiredo, A. Jain, and H. Zhang. Image classification for content-based indexing. IEEE Transactions on Image Processing, 10(1):117-130, 2001.
23. T. Westerveld and A. de Vries. Generative probabilistic models for multimedia retrieval: query generation versus document generation. IEE Proceedings - Vision, Image and Signal Processing, 152(6):852-858, 2005.
24. J. Weston and C. Watkins. Multi-class support vector machines. Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, May 1998.
25. J. Willamowski, D. Arregui, G. Csurka, C. Dance, and L. Fan. Categorizing nine visual classes using local appearance descriptors. In Proceedings of LAVS Workshop, in ICPR '04, Cambridge, August 2004.