Beschreibung
Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed.
Autorenporträt
Mr. Vishal Suryakant Kore is currently Pursuing his Masters Degree in Computer Networks Engineering from Savitribai Phule Pune University, Pune, India. He has completed his Bachelor of Engineering in Computer Science from Shivaji University, Kolhapur, India. He has published research papers in international journals and international conferences.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
