A Mobile Platform for Social Media Filters
Author(s) -
Bashayer AlShehri,
Aljawhra Alotaibi,
Hind Alqhtani,
Alaa AlAli,
Heba Kurdi
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.03.043
Subject(s) - computer science , filter (signal processing) , order (exchange) , service (business) , multimedia , mobile device , social media , negotiation , human–computer interaction , world wide web , computer vision , economy , finance , political science , law , economics
In the past few years, the quality of smartphone cameras has evolved, allowing users to take high-resolution images. Consequently, many smartphone applications, such as Snapchat and Instagram, emerged offering new forms of mobile imaging services that permit users to capture important moments or share their daily life with other people. However, these applications provide similar effects or filters for all users, not taking into account their custom requirements. To tackle this problem, this paper proposes a mobile platform for sharing image filters through social media. It allows mobile users to order special filters that match their requirements and allows designers to sell their designed filters as a service. The platform provides a filter gallery for every occasion from different designers and the user can request that filter that matches their need or order a custom filter from listed designers. Users and designers can communicate with each other to negotiate prices and designs via the platform’s private messages service. Additionally, a user can evaluate a design, rate a designer and pay through the application.
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