Mobi̇l ortamda ürün algilama amaçli bi̇r sözlük aǧaci gerçeklemesi̇

Translated title of the contribution: A vocabulary-tree implementation for mobile product recognition

Özgün Çirakman*, Sezer Kutluk, Bilge Günsel, Onur Çalikuş

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work we present a method for mobile image search and retrieval. Local image attributes are modelled by using SIFT features and codewords are obtained by using the Bag-of-Features (BoF) approach. Extracted features and generated codewords are indexed within a vocabulary tree (VT). Matching is performed by using a weighted Euclidean similarity criterion which is defined according to the VT structure and is robust to distortions such as rotation, changes in illumination, cropping and scaling. An XML based structure is proposed in order to represent the VTs in the database. Experimental results are obtained by using "Stanford Mobile Visual Search Data Set" and reported alongside with the results obtained via exhaustive search. It is shown that the system provides around 90% recognition rate with a low computational complexity thus is suitable for mobile applications.

Translated title of the contributionA vocabulary-tree implementation for mobile product recognition
Original languageTurkish
Title of host publication2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs
Publication statusPublished - 2012
Event2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey
Duration: 18 Apr 201220 Apr 2012

Publication series

Name2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

Conference

Conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/TerritoryTurkey
CityFethiye, Mugla
Period18/04/1220/04/12

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