NDLI: Image Visualization as per the User Appeal through Deep Learning

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Image Visualization as per the User Appeal through Deep Learning

Content Provider	ACM Digital Library
Author	Poonia, Amarjeet Gandhi, Ankita
Abstract	Visualization is a term used in the wide area of research to visualize the things as per the human vision. Mostly these terms are used to optimize the data, file format, multimedia format to clarify the concept of human understanding and acceptance in easiest manner. To prove the research in this perspective standard term involved to maintain the quality of work is known as scientific. Scientific visualization emphasises that the research on visualization will be performed as deep learning. Image visualization is mostly used in the medical field for visualization of complex images as per human vision. Sometimes images are visualized as enjoyable, memorable, analysis or for understanding the depth behind the images. Deep learning facilitates visualization of images as per the human vision through inceptions of processed vector/pixels involved in a image. The main motive of visualized image through deep learning is to project an image more attractive as per human vision. Different scientific parameters of computations are involved to process the image as per the user interaction. These parameters sometimes create a dangerous form of image, attractive look of image; deform the image quality through counting inceptions. In this article we analyze the deep learning process in an image visualization to find out the actual parameter to achieve the desired quality of image as per human vision and compute the chaining inceptions to form a new image within the images as meta-images.
Starting Page	81
Ending Page	86
Page Count	6
File Format	PDF
ISBN	9781450342780
DOI	10.1145/2909067.2909081
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Deep learning Visualization Human vision Inception Scientific visualization
Content Type	Text
Resource Type	Article

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

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