Menu-match: Restaurant-specific food logging from images

Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Volumn , Issue , 2015, Pages 844-851

  Beijbom, Oscar ^a,b   Joshi, Neel ^a   Morris, Dan ^a   Saponas, Scott ^a   Khullar, Siddharth ^a  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

CALORIE ESTIMATIONS; COMPUTER VISION SYSTEM; LOGGING METHODS; LOOKUPS; THIRD PARTIES; WEIGHT MANAGEMENT;

COMPUTER VISION;

EID: 84925436446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2015.117     Document Type: Conference Paper

References (38)

1. M. Anthimopoulos, L. Gianola, L. Scarnato, P. Diem, and S. Mougiakakou. A food recognition system for diabetic patients based on an optimized bag-of-features model. J. Biomed. Health Inform., 2014.
2. O. Beijbom, P. J. Edmunds, D. I. Kline, B. G. Mitchell, and D. Kriegman. Automated annotation of coral reef survey images. In CVPR, 2012.
3. O. Beijbom, M. Saberian, D. Kriegman, and N. Vasconcelos. Guess-averse loss functions for cost-sensitive multiclass boosting. In ICML, 2014.
4. M. Bosch, F. Zhu, N. Khanna, C. J. Boushey, and E. J. Delp. Combining global and local features for food identification in dietary assessment. In ICIP, 2011.
5. S. Branson, O. Beijbom, and S. Belongie. Efficient largescale structured learning. In CVPR, 2013.
6. S. Branson, C. Wah, F. Schroff, B. Babenko, P. Welinder, P. Perona, and S. Belongie. Visual recognition with humans in the loop. In ECCV, 2010.
7. L. Burke, J.Wang, and M. Sevick. Self-monitoring in weight loss: A systematic review of the literature. J Am Diet Assoc, 2011.
8. C. M. Champagne, G. A. Bray, A. A. Kurtz, J. B. R. Montiero, E. Tucker, J. Volaufova, and J. P. Delany. Energy intake and energy expenditure: a controlled study comparing dietitians and non-dietitians. J Am Diet Assoc, 2002.
9. M. Chen, K. Dhingra, W. Wu, L. Yang, R. Sukthankar, and J. Yang. Pfid: Pittsburgh fast-food image dataset. In ICIP, 2009.
10. M.-Y. Chen, Y.-H. Yang, C.-J. Ho, S.-H. Wang, S.-M. Liu, E. Chang, C.-H. Yeh, and M. Ouhyoung. Automatic chinese food identification and quantity estimation. In SIGGRAPH Technical Briefs, 2012.
11. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
12. J. Dehais, S. Shevchik, P. Diem, and S. G. Mougiakakou. Food volume computation for self dietary assessment applications. In BIBE, 2013.
13. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. Liblinear: A library for large linear classification. JMLR, 2008.
14. K. Flegal, M. Carroll, C. Ogden, and L. Curtin. Prevalence and trends in obesity among us adults, 1999-2008. JAMA, 2010.
15. K. Glanz, S. Murphy, J. Moylan, D. Evensen, and J. D. Curb. Improving dietary self-monitoring and adherence with handheld computers: A pilot study. Am J Health Promot, 2006.
16. D. Haslam and W. James. Obesity. Lancet, 2005.
17. H. Hoashi, T. Joutou, and K. Yanai. Image recognition of 85 food categories by feature fusion. In ISM, 2010.
18. J. Hollis, C. Gullion, and V. Stevens. Weight loss during the intensive intervention phase of the weight-loss maintenance trial. Amer J Prev Med, 2008.
19. R. Khan, J. Van deWeijer, F. S. Khan, D. Muselet, C. Ducottet, and C. Barat. Discriminative color descriptors. CVPR, 2013.
20. A. Khosla, J. Xiao, A. Torralba, and A. Oliva. Memorability of image regions. In NIPS, 2012.
21. K. Kitamura, T. Yamasaki, and K. Aizawa. Foodlog: capture, analysis and retrieval of personal food images via web. In ACM workshop, 2009.
22. F. Kong and J. Tan. Dietcam: Automatic dietary assessment with mobile camera phones. PMC, 2012.
23. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
24. D. G. Lowe. Object recognition from local scale-invariant features. In ICCV, 1999.
25. H. Müller, W. Müller, D. M. Squire, S. Marchand-Maillet, and T. Pun. Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recogn Lett, 2001.
26. J. Noronha, E. Hysen, H. Zhang, and K. Z. Gajos. Platemate: crowdsourcing nutritional analysis from food photographs. In UIST, 2012.
27. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI, 2002.
28. D. A. Schoeller, L. G. Bandini, and W. H. Dietz. Inaccuracies in self-reported intake identified by comparison with the doubly labelled water method. Can J Physiol Pharm, 1990.
29. J. Shang, E. Pepin, E. Johnson, D. Hazel, A. Teredesai, A. Kristal, and A. Mamishev. Dietary intake assessment using integrated sensors and software. In IS&T/SPIE Electronic Imaging, 2012.
30. J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In CVPR, 2003.
31. J. M. Spahn, R. S. Reeves, K. S. Keim, I. Laquatra, M. Kellogg, B. Jortberg, and N. A. Clark. State of the evidence regarding behavior change theories and strategies in nutrition counseling to facilitate health and food behavior change. J Am Diet Assoc, 2010.
32. L. Svetkey and et al. Comparison of strategies for sustaining weight loss: The weight loss maintenance randomized controlled trial. JAMA, 2008.
33. M. Varma and A. Zisserman. A statistical approach to texture classification from single images. IJCV, 2005.
34. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010.
35. S. Yang, M. Chen, D. Pomerleau, and R. Sukthankar. Food recognition using statistics of pairwise local features. In CVPR, 2010.
36. L. R. Young and M. Nestle. The contribution of expanding portion sizes to the us obesity epidemic. Amer J Public Health, 2002.
37. L. Zepeda and D. Deal. Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes. Int J Consum Stud, 2008.
38. F. Zhu, M. Bosch, I.Woo, S. Kim, C. J. Boushey, D. S. Ebert, and E. J. Delp. The use of mobile devices in aiding dietary assessment and evaluation. STSP, 2010.