{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:56:52Z","timestamp":1776110212672,"version":"3.50.1"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"10","license":[{"start":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T00:00:00Z","timestamp":1585872000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.aaai.org"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1609\/aaai.v34i10.7205","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T17:52:55Z","timestamp":1593453175000},"page":"13865-13866","source":"Crossref","is-referenced-by-count":4,"title":["Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract)"],"prefix":"10.1609","volume":"34","author":[{"given":"Chang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Han","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Zhiqi","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Yingxue","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Ian","family":"Dixon","sequence":"additional","affiliation":[]},{"given":"Zhanning","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Pan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Peiran","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Xuansong","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Chunyan","family":"Miao","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2020,4,3]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/7205\/7059","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/7205\/7059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:03:53Z","timestamp":1667523833000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/7205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,3]]},"references-count":0,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,6,19]]}},"URL":"https:\/\/doi.org\/10.1609\/aaai.v34i10.7205","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2020,4,3]]}}}