MeChat: In-device personal assistant for conversational photo sharing

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

doi:10.1109/MIC.2018.2883059

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 journal › Article › peer-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 language	English
Article number	8552426
Pages (from-to)	23-30
Number of pages	8
Journal	IEEE Internet Computing
Volume	23
Issue number	2
DOIs	https://doi.org/10.1109/MIC.2018.2883059
Publication status	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MIC.2018.2883059

Cite this

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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.",

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MeChat: In-device personal assistant for conversational photo sharing

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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