Color-Sketch Simulator : A Guide for Color-Based Visual Known-Item Search

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

5 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)754-763
Journal / PublicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume10604
Online published14 Oct 2017
Publication statusPublished - 2017

Conference

Title13th International Conference on Advanced Data Mining and Applications, ADMA 2017
PlaceSingapore
Period5 - 6 November 2017

Abstract

In order to evaluate the effectiveness of a color-sketch retrieval system for a given multimedia database, tedious evaluations involving real users are required as users are in the center of query sketch formulation. However, without any prior knowledge about the bottlenecks of the underlying sketch-based retrieval model, the evaluations may focus on wrong settings and thus miss the desired effect. Furthermore, users have usually no clues or recommendations to draw color-sketches effectively. In this paper, we aim at a preliminary analysis to identify potential bottlenecks of a flexible color-sketch retrieval model. We present a formal framework based on position-color feature signatures, enabling comprehensive simulations of users drawing a color sketch.

Citation Format(s)

Color-Sketch Simulator : A Guide for Color-Based Visual Known-Item Search. / Lokoč, Jakub; Phuong, Anh Nguyen; Vomlelová, Marta; Ngo, Chong-Wah.

In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 10604, 2017, p. 754-763.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal