학술논문
NNk networks and automated annotation for browsing large image collections from the world wide web
Document Type
Conference
Author
Source
Proceedings of the 14th ACM international conference on Multimedia. :493-494
Subject
Language
English
Abstract
This paper outlines a system for searching and browsing 1.14 million images from the World Wide Web (WWW) based on their visual content. At the heart of the system lies an automatically constructed network of images that can be navigated quickly by following its edges. The browsing experience is enhanced in a number of ways including multidimensional scaling of the graph neighbourhood for display purposes, Markov clustering of the image network to provide summaries of its content, and automated annotation of the images to allow users to access the network through text queries.