[Paper] Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification

Author:

Maeda Keisuke1,Genma Susumu2,Ogawa Takahiro3,Haseyama Miki3

Affiliation:

1. Office of Institutional Research, Hokkaido University

2. Graduate School of Information Science and Technology, Hokkaido University

3. Faculty of Information Science and Technology, Hokkaido University

Publisher

Institute of Image Information and Television Engineers

Subject

Computer Graphics and Computer-Aided Design,Media Technology,Signal Processing

Reference45 articles.

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3. 3) JD Lattin and L Knutson, “Taxonomic information and services on arthropods of importance to human welfare in central and south america,” Plant protection bulletin, 1982.

4. 4) Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A Lytle, Salvador Ruiz Correa, Eric N Mortensen, et al., “Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,” Machine Vision and Applications, vol. 19, no. 2, pp. 105-123, 2008.

5. 5) Tom Arbuckle, Stefan Schröder, Volker Steinhage, and Dieter Wittmann, “Biodiversity informatics in action: identification and monitoring of bee species using abis,” in Proc. 15th Int. Symp. Informatics for Environmental Protection, 2001, vol. 1, pp. 425-430.

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