@inproceedings{f0154ed5fc2643f59fd17dcf97729c90,
title = "Intuitive large image database browsing using perceptual similarity enriched by crowds",
abstract = "The main objective of image browsers is to empower users to find a desired image with ease, speed and accuracy from a large database. In this paper we present a novel approach at creating an image browsing environment based on human perception with the aim of providing intuitive image navigation. In our approach, similarity judgments form the basic structural organization for the images in our browser. To enrich this we have developed a scalable crowd sourced method of augmenting a database with a large number of additional samples by capturing human judgments from members of a crowd. Experiments were conducted involving two databases that demonstrate the effectiveness of our method as an intuitive, fast browsing environment for large image databases.",
keywords = "Abstracts, Browsers, Clustering, Crowd Sourcing, Databases, Images, Indexing, Navigation, Perception, Retrieval, Similarity, Textures",
author = "Stefano Padilla and Fraser Halley and Robb, {David A.} and Chantler, {Mike J.}",
year = "2013",
month = sep
day = "26",
doi = "10.1007/978-3-642-40246-3_21",
language = "English",
isbn = "9783642402456",
volume = "8048 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "169--176",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 2",
note = "15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013 ; Conference date: 27-08-2013 Through 29-08-2013",
}