Paper
9 September 2011 Interactive region-based retrieval
Andrei Bursuc, Titus Zaharia, Françoise Prêteux
Author Affiliations +
Abstract
This paper presents a novel method for retrieving different instances of a region or object of interest in a video database. We propose three dynamic region construction and matching algorithms aiming at obtaining the most similar instance of the query model from each candidate image. The first two involve a greedy, dynamic region construction method. The third is based on simulated annealing, and aims at determining a global optimum. An interactive selection mechanism allows the user to select an object directly from the video and to start a query using as input this information in order to access visually similar content. Experimental results show promising performances, with object detection rates of up to 81%.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrei Bursuc, Titus Zaharia, and Françoise Prêteux "Interactive region-based retrieval", Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 81360E (9 September 2011); https://doi.org/10.1117/12.903058
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KEYWORDS
Video

Image segmentation

Algorithms

Databases

Visualization

Roentgenium

Algorithm development

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