@inproceedings{Soe2022,
author = {Soe, Than Htut and Slavkovik, Marija},
title = {A Content-Aware Tool for Converting Videos to Narrower Aspect Ratios},
year = {2022},
isbn = {9781450392129},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3505284.3529970},
doi = {10.1145/3505284.3529970},
abstract = {The ability to make videos for different aspect ratios (known as video retargeting) contributes to optimal viewing experience on different video platforms. In this paper, we present an idiom-based tool for retargeting videos, from the most common 16:9 aspect ratio into narrower aspect ratios. In contrast to earlier retargeting approaches, which distort the video and are completely automated, our tool enables cropping and panning with user input and oversight. Users can select and order idioms from six cinematic idioms to control video retargeting, and the tool applies selected idioms in order and generates the retargeting results. We performed a pilot study for the feasibility of the tool, and conducted quantitative analysis to inform further work on crafting intelligent cropping and panning tools. In addition, we interviewed an experience video editor on how retargeting is done manually and the quality of the output of the tool.},
booktitle = {ACM International Conference on Interactive Media Experiences},
pages = {109-120},
numpages = {12},
keywords = {intelligent user interfaces, multi-device, video retargeting},
location = {Aveiro, JB, Portugal},
series = {IMX '22}
}