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

4 Citations (Scopus)

Abstract

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
Volume23
Issue number2
DOIs
Publication statusPublished - 2019 Mar 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea government (MSIT) under Grant 2018R1A2A1A05078380. K.-M. Kim and W.-J. Ryu contributed equally to this work.

Publisher Copyright:
© 1997-2012 IEEE.

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications

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