NDLI: Multi-organ plant identification

Please wait, while we are loading the content...

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

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

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in