Color-Sketch Simulator : A Guide for Color-Based Visual Known-Item Search
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 754-763 |
Journal / Publication | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
Volume | 10604 |
Online published | 14 Oct 2017 |
Publication status | Published - 2017 |
Conference
Title | 13th International Conference on Advanced Data Mining and Applications, ADMA 2017 |
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Place | Singapore |
Period | 5 - 6 November 2017 |
Link(s)
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 et al.
In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 10604, 2017, p. 754-763.
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 - Publication in refereed journal › peer-review