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Interactive product image search with complex scenes

Published: 09 September 2012 Publication History

Abstract

Online shopping becomes a convenient way for billions for web users to purchase the products, especially clothes. A large portion of the product images are various types of apparel often including a human model from cluttered and non-uniform natural backgrounds, which makes visual product search a challenging task. In this work, we propose an approach for interactive product image search with complex scenes, which combines the interactive image segmentation for query images, and efficient graph-based principal object extraction for backend image database to extract the foreground objects, respectively. Experiments on a large scale dataset with 1.36 million product images crawled from Taobao demonstrate the effectiveness of the proposed solution.

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Cited By

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  • (2016)Clothing Cosegmentation for Shopping Images With Cluttered BackgroundIEEE Transactions on Multimedia10.1109/TMM.2016.253778318:6(1111-1123)Online publication date: Jun-2016
  • (2014)Clothing Extraction Using Region-Based Segmentation and Pixel-Level RefinementProceedings of the 2014 IEEE International Symposium on Multimedia10.1109/ISM.2014.74(303-310)Online publication date: 10-Dec-2014

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Published In

cover image ACM Other conferences
ICIMCS '12: Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
September 2012
243 pages
ISBN:9781450316002
DOI:10.1145/2382336
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • National Science Foundation of China
  • CCNU: Central China Normal University
  • Daqian Vision: Daqian Vision
  • Microsoft Research: Microsoft Research
  • Beijing ACM SIGMM Chapter
  • NEC: NEC Labs China

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2012

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Author Tags

  1. image search
  2. image segmentation
  3. interactive system

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  • Research-article

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ICIMCS '12
Sponsor:
  • CCNU
  • Daqian Vision
  • Microsoft Research
  • NEC

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Overall Acceptance Rate 163 of 456 submissions, 36%

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Cited By

View all
  • (2016)Clothing Cosegmentation for Shopping Images With Cluttered BackgroundIEEE Transactions on Multimedia10.1109/TMM.2016.253778318:6(1111-1123)Online publication date: Jun-2016
  • (2014)Clothing Extraction Using Region-Based Segmentation and Pixel-Level RefinementProceedings of the 2014 IEEE International Symposium on Multimedia10.1109/ISM.2014.74(303-310)Online publication date: 10-Dec-2014

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