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Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract)
Author(s) -
Chang Liu,
Han Yu,
Yi Dong,
Zhiqi Shen,
Yingxue Yu,
Ian Dixon,
Zhanning Gao,
Pan Wang,
Peiran Ren,
Xuansong Xie,
Lizhen Cui,
Chunyan Miao
Publication year - 2020
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v34i10.7205
Subject(s) - computer science , workflow , shot (pellet) , set (abstract data type) , selection (genetic algorithm) , multimedia , clips , production (economics) , video production , artificial intelligence , chemistry , organic chemistry , database , economics , macroeconomics , programming language
There is an emerging trend for sellers to use videos to promote their products on e-commerce platforms such as Taobao.com. Current video production workflow includes the production of visual storyline by human directors. We propose a system to automatically generate visual storyline based on the input set of visual materials (e.g. video clips or still images) and then produce a promotional video. In particular, we propose an algorithm called Shot Composition, Selection and Plotting (ShotCSP), which generates visual storylines leveraging film-making principles to improve viewing experience and perceived persuasiveness.

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