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  1. Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data (MAED '12)
  2. Multi-organ plant identification
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Grass, scrub, trees and random forest
Identification of great apes using gabor features and locality preserving projections
Plant leaves morphological categorization with shared nearest neighbours clustering
Visibility cameras: where and how to look
Texture recognition for frog identification
Multi-organ plant identification
Environmental data extraction from multimedia resources
Event detection in underwater domain by exploiting fish trajectory clustering
Semantic based retrieval system of arctic animal images
An environmental search engine based on interactive visual classification
A visual sensing platform for creating a smarter multi-modal marine monitoring network
Quantitative performance analysis of object detection algorithms on underwater video footage

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Multi-organ plant identification

Content Provider ACM Digital Library
Author Joly, Alexis Bakic, Vera Barthelemy, Daniel Barbe, Julien Boujemaa, Nozha Goëau, Hervé Molino, Jean-François Bonnet, Pierre
Abstract This paper presents a new interactive web application for the visual identification of plants based on collaborative pictures. Contrary to previous content-based identification methods and systems developed for plants that mainly relied on leaves, or in few other cases on flowers, it makes use of five different organs and plant's views including habit, flowers, fruits, leaves and bark. Thanks to an interactive and visual query widget, the tagging process of the different organs and views is as simple as drag-and-drop operations and does not require any expertise in botany. All training pictures used by the system were continuously collected during one year through a crowdsourcing application that was set up in the scope of a citizen sciences initiative. System-oriented and human-centered evaluations of the application show that the results are already satisfactory and therefore very promising in the long term to identify a richer flora.
Starting Page 41
Ending Page 44
Page Count 4
File Format PDF
ISBN 9781450315883
DOI 10.1145/2390832.2390843
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Habit Flower Plant image retrieval by organ Fruit Bark Digital botany Leaf Interactive plant identification
Content Type Text
Resource Type Article
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