Food region segmentation in meal images using touch points

CEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 2012

Volumn , Issue , 2012, Pages 7-12

  Morikawa, Chamin ^a   Sugiyama, Haruki ^a   Aizawa, Kiyoharu ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Food image analysis; Interactive segmentation; Multimedia

Indexed keywords

AUTOMATIC SEGMENTATIONS; DATA SETS; DIETARY ASSESSMENTS; FOOD IMAGE; INTERACTIVE SEGMENTATION; LOCAL IMAGE FEATURES; MULTIMEDIA; REGION SEGMENTATION; SEGMENTATION ALGORITHMS; USER INTERVENTION;

PHOTOGRAPHY;

IMAGE SEGMENTATION;

EID: 84870551162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2390776.2390779     Document Type: Conference Paper

References (20)

1. The Auri Group Tech Blog. NTT DoCoMo and KDDI; Keeping You Healthy. http://aurigroup.wordpress.com/2011/10/04/reporters-notebook-ceatec-2011-day-1/, 2011. [Online; accessed 6-July-2012].
2. Y.-W. Chang and Y.-Y. Chen. An improve scheme of segmenting colour food image by robust algorithm. In Proc. Algo2006, 2006.
3. L. C. de Silva, A. Pereira, and A. Punchihewa. Food classifications using color imaging. In Proc. IVCNZ 2005, pages 1-6.
4. H. Hoashi, T. Joutou, and K. Yanai. Image recognition of 85 food categories by feature fusion. In CEA, 2010.
5. Daily Burn Inc. Mealsnap. http://mealsnap.com, 2011. [Online; accessed 7-December-2011].
6. K. Kitamura, T. Yamasaki, and K. Aizawa. Foodlog by analyzing food images. In Proc. ACM Multimedia 2008.
7. K. Aizawa, G. C. de Silva, K. Kitamura, Y. Maruyama. Food Log: the Easiest Way to Capture and Archive What We Eat. Information Access for Personal Media Archives Workshop (IAPMA2010), pp.11-13.
8. Y. Li, J. Sun, C.-K. Tang, and H.-Y. Shum. Lazy snapping. ACM Trans. Graph., 23:303-308, 2004.
9. D. Liu, Y. Xiong, L. G. Shapiro, and K. Pulli. Robust interactive image segmentation with automatic boundary refinement. In ICIP, pages 225-228, 2010.
10. C. K. Martin, S. Kaya, and B. K. Gunturk. Quantification of food intake using food image analysis. In Proc IEEE Eng Med Biol Soc, pages 6869-72, 2009.
11. D. Mery and F. Pedreschi. Segmentation of colour food images using a robust algorithm. Journal of Food Engineering, 66(3):353 - 360, 2005.
12. MyPhotoDiet. My photo diet. http://myphotodiet.com, 2006. [Online; accessed 7-December-2011].
13. Electro Communications University of Japan. Foodimgbot. https://twitter.com/#!/foodimgbot, 2011. [Online; accessed 7-December-2011].
14. The University of Tokyo. Foodlog. http://foodlog.jp, 2008. [Online; accessed 6-July-2012].
15. C. Rother, V. Kolmogorov, and A. Blake. "grabcut": interactive foreground extraction using iterated graph cuts. In ACM SIGGRAPH 2004, pages 309-314, 2004.
16. H. Sugiyama, C. de Silva, and K. Aizawa. Food image segmentation using star points. In MIRU 2011. [In Japanese]
17. H. Sugiyama, G. C. de Silva, and K. Aizawa Segmentation of Food Images by Local Extrema and GrabCut. In The Journal of The Institute of Image Information and Television Engineers, Japan. [In Japanese]
18. Sukuta Systems. Photo diet - android market. https://market.android.com/ details?id=sukuta.foodlogen, 2011. [Online; accessed 7-December-2011].
19. I. Woo, K. Ostmo, S. Kim, D. S. Ebert, E. J. Delp, and C. J. Boushey. Automatic portion estimation and visual refinement in mobile dietary assessment. In Proc. Computational Imaging VIII, volume 7533, page 75330, 2010.
20. F. Zhu, A. Mariappan, C. J. Boushey, D. Kerr, K. D. Lutes, D. S. Ebert, and E. J. Delp. Technology-assisted dietary assessment. In Computational Imaging, 2008.