A hierarchical approach to practical beverage package recognition

Mei Chen Yeh, Jason Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper we study the beverage package recognition problem for mobile applications. Unlike products such as books and CDs that are primarily packaged in rigid forms, the beverage labels may be attached on various forms including cans and bottles. Therefore, query images captured by users may have a wide range or variations in appearance. Furthermore, similar visual patterns may appear on distinct beverage packages that belong to the same series. To address these challenges, we propose a fast, hierarchical approach that can be used to effectively recognize a beverage package in real-time. A weighting scheme is introduced to enhance the recognition accuracy rate when the query beverage is among flavor varieties in a series. We examine the development of a practical system that can achieve a fairly good recognition performance (93% accuracy rate using an evaluation set of 120 images) in real-time.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
Pages348-357
Number of pages10
EditionPART1
DOIs
Publication statusPublished - 2011 Nov 30
Event5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011 - Gwangju, Korea, Republic of
Duration: 2011 Nov 202011 Nov 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART1
Volume7087 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
CountryKorea, Republic of
CityGwangju
Period11/11/2011/11/23

Fingerprint

Beverages
Query
Real-time
Series
Mobile Applications
Weighting
Distinct
Evaluation
Range of data
Flavors
Bottles
Labels
Form
Vision

Keywords

  • Product recognition
  • mobile application
  • sub-image retrieval

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yeh, M. C., & Tai, J. (2011). A hierarchical approach to practical beverage package recognition. In Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings (PART1 ed., pp. 348-357). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7087 LNCS, No. PART1). https://doi.org/10.1007/978-3-642-25367-6_31

A hierarchical approach to practical beverage package recognition. / Yeh, Mei Chen; Tai, Jason.

Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings. PART1. ed. 2011. p. 348-357 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7087 LNCS, No. PART1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yeh, MC & Tai, J 2011, A hierarchical approach to practical beverage package recognition. in Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings. PART1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART1, vol. 7087 LNCS, pp. 348-357, 5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011, Gwangju, Korea, Republic of, 11/11/20. https://doi.org/10.1007/978-3-642-25367-6_31
Yeh MC, Tai J. A hierarchical approach to practical beverage package recognition. In Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings. PART1 ed. 2011. p. 348-357. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART1). https://doi.org/10.1007/978-3-642-25367-6_31
Yeh, Mei Chen ; Tai, Jason. / A hierarchical approach to practical beverage package recognition. Advances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings. PART1. ed. 2011. pp. 348-357 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART1).
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