Interactive plant identification based on social image data

Ecological Informatics

Volumn 23, Issue , 2014, Pages 22-34

  Joly, Alexis ^a   Goëau, Hervé ^a   Bonnet, Pierre ^b   Bakić, Vera ^a   Barbe, Julien ^b   Selmi, Souheil ^a   Yahiaoui, Itheri ^c   Carré, Jennifer ^d   Mouysset, Elise ^d   Molino, Jean François ^b   Boujemaa, Nozha ^e   Barthélémy, Daniel ^f  

^a LIRMM   (France)

^b UMR AMAP   (France)

^c UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

^d Tela Botanica Association   (France)

^e INRIA SACLAY   (France)

^f CIRAD   (France)

Author keywords

Bark; Botanist; Citizen science; Collaborative; Computer vision; Crowdsourcing; Ecology; Flower; Fruit; Identification; Images; Leaf; Monitoring; Multi organ; Multimedia; Plant; Retrieval; Social network; Surveillance; Visual

Indexed keywords

AUTOMATION; IDENTIFICATION METHOD; IMAGE ANALYSIS; PLANT COMMUNITY; SOCIAL NETWORK; SPECIES DIVERSITY; SUSTAINABLE DEVELOPMENT;

EID: 84905119264     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2013.07.006     Document Type: Article

References (38)

1. Agarwal G., Belhumeur P., Feiner S., Jacobs D., Kress J.W.R., Ramamoorthi N.B., Dixit N., Ling H., Mahajan D., Russell R., Shirdhonkar S., Sunkavalli K., White S. First steps toward an electronic field guide for plants. Taxon 2006, 55:597-610.
2. Backes A.R., Casanova D., Bruno O.M. A complex network-based approach for boundary shape analysis. Pattern Recognition 2009, 42:54-67.
3. Backes A.R., Casanova D., Bruno O.M. Plant leaf identification based on volumetric fractal dimension. International Journal of Pattern Recognition and Artificial Intelligence 2009, 23:1145-1160.
4. Bay H., Ess A., Tuytelaars T., Van Gool L. Speeded-up robust features (surf). Computer Vision and Image Understanding 2008, 110:346-359.
5. Belhumeur P.N., Chen D., Feiner S., Jacobs D.W., Kress W.J., Ling H., Lopez I.C., Ramamoorthi R., Sheorey S., White S., Zhang L. Searching the world's herbaria: a system for visual identification of plant species. European Conference on Computer Vision 2008, 116-129.
6. Bruno O.M., de Oliveira Plotze R., Falvo M., de Castro M. Fractal dimension applied to plant identification. Information Sciences 2008, 178:2722-2733.
7. Cerutti G., Tougne L., Vacavant A., Coquin D. A parametric active polygon for leaf segmentation and shape estimation. International Symposium on Visual Computing 2011, 202-213.
8. Chang E., Chang S.F., Hauptmann A., Huang T., Slaney M. Web-scale multimedia processing and applications [scanning the issue]. Proceedings of the IEEE 2012, 100:2580-2583. 10.1109/JPROC.2012.2204110.
9. Deng J., Dong W., Socher R., Li L.J., Li K., Fei-Fei L. ImageNet: a large-scale hierarchical image database. IEEE conference on Computer Vision and Patter Recognition 2009, 248-245.
10. Fischler M.A., Bolles R.C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 1981, 24:381-395.
11. Goëau H., Bonnet P., Joly A., Boujemaa N., Barthélémy D., Molino J.F., Birnbaum P., Mouysset E., Picard M. The ImageCLEF 2011 plant images classification task. CLEF working notes 2011.
12. Goëau H., Joly A., Selmi S., Bonnet P., Mouysset E., Joyeux L., Molino J.F., Birnbaum P., Bathelemy D., Boujemaa N. Visual-based plant species identification from crowdsourced data. ACM conference on Multimedia 2011, 813-814.
13. Goëau H., Bonnet P., Barbe J., Bakic V., Joly A., Molino J.F., Barthelemy D., Boujemaa N. Multi-organ plant identification. ACM workshop on Multimedia Analysis for Ecological Data 2012, 41-44.
14. Goëau H., Bonnet P., Joly A., Yahiaoui I., Barthelemy D., Boujemaa N., Molino J.F. The ImageCLEF 2012 plant identification task. CLEF working notes 2012.
15. Gouet V., Boujemaa N. Object-based queries using color points of interest. IEEE Workshop on Content-based Access of Image and Video Libraries 2001, 30-38.
16. Grozea C. Brainsignals submission to plant identification task at ImageCLEF 2012. CLEF working notes 2012.
17. Jegou H., Douze M., Schmid C. Hamming embedding and weak geometric consistency for large scale image search. European Conference on Computer Vision 2008, 304-317.
18. Joly A. New local descriptors based on dissociated dipoles. ACM conference on Content-based Image and Video Retrieval 2007, 573-580.
19. Joly A., Buisson O. A posteriori multi-probe locality sensitive hashing. ACM conference on Multimedia 2008, 209-218.
20. Joly A., Buisson O. Logo retrieval with a contrario visual query expansion. Proceedings of the seventeen ACM international conference on Multimedia 2009, 581-584.
21. Joly A., Buisson O. Random maximum margin hashing. IEEE conference on Computer Vision and Pattern Recognition 2011, 873-880.
22. Kumar N., Belhumeur P.N., Biswas A., Jacobs D.W., Kress W.J., Lopez I.C., Soares J.V.B. Leafsnap: a computer vision system for automatic plant species identification. European Conference on Computer Vision 2012, 502-516.
23. Le Q.V., Ranzato M., Monga R., Devin M., Chen K., Corrado G.S., Dean J., Ng A.Y. Building high-level features using large scale unsupervised learning. International Conference on Machine Learning 2012.
24. Miller G.A. Wordnet: a lexical database for English. Communications of the ACM 1995, 38:39-41.
25. Mouine S., Yahiaoui I., Verroust-Blondet A. Advanced shape context for plant species identification using leaf image retrieval. ACM International Conference on Multimedia Retrieval 2012, 49:1-49:8.
26. Neto J.C., Meyer G.E., Jones D.D., Samal A.K. Plant species identification using Elliptic Fourier leaf shape analysis. Computers and Electronics in Agriculture 2006, 50:121-134.
27. Nilsback M.E., Zisserman A. Automated flower classification over a large number of classes. Indian Conference on Computer Vision, Graphics and Image Processing 2008, 722-729.
28. Otsu N. A threshold selection method from gray-level histogram. Transactions on Systems, Man, Cybernetics 1979.
29. Philbin J., Chum O., Isard M., Sivic J., Zisserman A. Object retrieval with large vocabularies and fast spatial matching. IEEE Conference on Computer Vision and Pattern Recognition 2007.
30. Romero E., Barrio I., Belanche L. Incremental and decremental learning for linear support vector machines. International Conference on Artificial Neural Networks 2007, 209-218.
31. Sánchez J., Perronnin F. High-dimensional signature compression for large-scale image classification. IEEE Conference on Computer Vision and Pattern Recognition 2011, 1665-1672.
32. Sarmiento C., Detienne P., Heinz C., Molino J.F., Grard P., Bonnet P. Plantwood: a computer-assisted identification tool for 110 species of Amazon trees based on wood anatomical features. IAWA Journal 2011.
33. Söderkvist O.J.O. Computer vision classification of leaves from Swedish trees 2001, Master's thesis, Linköping University, SE-581 83 Linköping, Sweden.
34. Sorokin A., Forsyth D. Utility data annotation with amazon mechanical turk. Computer Vision and Pattern Recognition Workshops 2008, 1-8.
35. Spampinato C., Mezaris V., van Ossenbruggen J. Multimedia analysis for ecological data. ACM conference on Multimedia 2012, 1507-1508.
36. Yahiaoui I., Hervé N., Boujemaa N. Shape-based image retrieval in botanical collections. Pacific Rim conference on Advances in Multimedia Information Processing 2006, vol. 4261:357-364.
37. Yahiaoui I., Mzoughi O., Boujemaa N. Leaf shape descriptor for tree species identification. ICME, IEEE 2012, 254-259.
38. Yahiaoui I., Mzoughi O., Boujemaa N. Leaf shape descriptor for tree species identification. IEEE International Conference on Multimedia and Expo 2012, 254-259.