WAVEFONT FOR ARABIC VIDEO CAPTIONING

Abstract

Every typeface has unique featured based on different styles and a variety of weights, sizes, and angles. Although all typefaces have the ability to convey the same information, some of them can be more effective to convey a specific message of the text. _x000D_ Similarly, diversification of fonts in video captions based on the voice characteristics, namely loudness and speed, can affect the viewer receiving the content. This study evaluates the new method, WaveFont, which visualizes the voice characteristics for video captions. The purpose of this study is to test the ability to generate this new method by using different tools and software to provide additional information in the captions by giving a specific shape of a single character in the captions of the video. The study was specifically designed to test Arabic visual video captions, which aim to add a new experience for Arabic viewers. The study has been tested by a questionnaire providing a version where we tested English captions and another version where we tested Arabic captions, namely 27 participants answered the Arabic version, and 16 participants answered the English version. The result of the study indicates that WaveFont is comprehensible and acceptable. Furthermore, the participants agreed that the used font can be improved to enhance the viewer experience.

Date of Award	2020
Original language	American English
Awarding Institution	HBKU College of Humanities and Social Science