Client-driven animated GIF generation framework using an acoustic feature
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mujtaba, G. | - |
dc.contributor.author | Lee, Sangsoon | - |
dc.contributor.author | Kim, Jaehyoun | - |
dc.contributor.author | Ryu, Eun-Seok | - |
dc.date.accessioned | 2021-12-05T02:40:12Z | - |
dc.date.available | 2021-12-05T02:40:12Z | - |
dc.date.created | 2021-03-02 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 1380-7501 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82844 | - |
dc.description.abstract | This paper proposes a novel, lightweight method to generate animated graphical interchange format images (GIFs) using the computational resources of a client device. The method analyzes an acoustic feature from the climax section of an audio file to estimate the timestamp corresponding to the maximum pitch. Further, it processes a small video segment to generate the GIF instead of processing the entire video. This makes the proposed method computationally efficient, unlike baseline approaches that use entire videos to create GIFs. The proposed method retrieves and uses the audio file and video segment so that communication and storage efficiencies are improved in the GIF generation process. Experiments on a set of 16 videos show that the proposed approach is 3.76 times more computationally efficient than a baseline method on an Nvidia Jetson TX2. Additionally, in a qualitative evaluation, the GIFs generated using the proposed method received higher overall ratings compared to those generated by the baseline method. To the best of our knowledge, this is the first technique that uses an acoustic feature in the GIF generation process. © 2021, The Author(s). | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | Multimedia Tools and Applications | - |
dc.title | Client-driven animated GIF generation framework using an acoustic feature | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000617417600001 | - |
dc.identifier.doi | 10.1007/s11042-020-10236-6 | - |
dc.identifier.bibliographicCitation | Multimedia Tools and Applications, v.80, no.28-29, pp.35923 - 35940 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85100963459 | - |
dc.citation.endPage | 35940 | - |
dc.citation.startPage | 35923 | - |
dc.citation.title | Multimedia Tools and Applications | - |
dc.citation.volume | 80 | - |
dc.citation.number | 28-29 | - |
dc.contributor.affiliatedAuthor | Mujtaba, G. | - |
dc.contributor.affiliatedAuthor | Lee, Sangsoon | - |
dc.type.docType | Article in Press | - |
dc.subject.keywordAuthor | Acoustic feature | - |
dc.subject.keywordAuthor | Animated GIF | - |
dc.subject.keywordAuthor | Client-driven | - |
dc.subject.keywordPlus | Computational efficiency | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Acoustic features | - |
dc.subject.keywordPlus | Baseline methods | - |
dc.subject.keywordPlus | Computational resources | - |
dc.subject.keywordPlus | Computationally efficient | - |
dc.subject.keywordPlus | Generation process | - |
dc.subject.keywordPlus | Interchange formats | - |
dc.subject.keywordPlus | Qualitative evaluations | - |
dc.subject.keywordPlus | Storage efficiency | - |
dc.subject.keywordPlus | Audio acoustics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.