MeChat: In-device personal assistant for conversational photo sharing

Kang Min Kim, Woo Jong Ryu, Jun Hyung Park, Sang-Geun Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


It is still challenging to search in-device photos without the sacrifice of privacy or poor latency, while photos have been an essential medium of the communication in messaging applications. In this paper, we propose a novel in-device personal assistant for conversational photo sharing, called meChat. By understanding the user's conversations and in-device photos, meChat intelligently searches in-device photos that are semantically relevant to the conversation context. Notably, meChat works in a stand-alone, privacy-protecting manner without sending out any in-device personal content. The scenario-based user studies show that meChat efficiently searches highly relevant in-device photos with low perceived latency and energy consumption.

Original languageEnglish
Article number8552426
Pages (from-to)23-30
Number of pages8
JournalIEEE Internet Computing
Issue number2
Publication statusPublished - 2019 Mar 1


  • In-device photo search
  • Intelligent chatbots
  • On-device intelligence
  • Personal assistant

ASJC Scopus subject areas

  • Computer Networks and Communications


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