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abstract

WAB'21: 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge

Published: 17 October 2021 Publication History

Abstract

Product identification has become a very important component in the modern E-commerce shopping system. Consumers could enjoy watching livingstreaming and buying products that livestream hosts recommended. However, with hundreds of products presented in a livingstreaming video, finding the specific product could be laboursome for consumers. Hence, automatic product identification is desired in livingstreaming based E-commerce system. Compared with the image-based visual searching system, the complicated contents in the livestreaming videos make the identification even more challenging. To promote the research on product identification in livestreaming, we present the largest multimodal product retrieval dataset named "Watch and Buy" (WAB) and launch the multimodal product retrieval challenge. We hope this workshop could help researchers further advance the performance and applicability of livestreaming product identification in real-world systems.

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Published In

cover image ACM Conferences
MM '21: Proceedings of the 29th ACM International Conference on Multimedia
October 2021
5796 pages
ISBN:9781450386517
DOI:10.1145/3474085
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2021

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Author Tags

  1. datasets
  2. e-commerce livestreaming
  3. multimodal product identification

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MM '21
Sponsor:
MM '21: ACM Multimedia Conference
October 20 - 24, 2021
Virtual Event, China

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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