A hierarchical approach to practical beverage package recognition

Mei Chen Yeh*, Jason Tai

*Corresponding author for this work

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

1 Citation (Scopus)


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
Number of pages10
Publication statusPublished - 2011
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)
Volume7087 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
Country/TerritoryKorea, Republic of


  • Product recognition
  • mobile application
  • sub-image retrieval

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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