5 research outputs found

    Why do people subtitle movies? A survey research of the subtitler motivations and practices

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    In this paper we investigate the reasons why enthusiasts dedicate time and effort to create subtitles for third-party videos shared on-line. Based on results obtained from a survey research with a community of Brazilian subtitlers, we highlight basic features of these enthusiasts as well as their motivations and main objectives. Our observations suggest that this is a volunteering and collaborative activity after all.CNPq (#312148/2014-3); FAPES (#67927378/2015

    Investigating the collaborative process of subtitles creation and sharing for videos on the Web

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    In this paper we concentrate on the study of the collaborative practices of enthusiasts that create and share subtitles for third party videos. Based on preliminary results from interviews with some volunteers, we formalize the subtitles creation and sharing process using a business process management model and compare it with other collaborative and crowdsourcing models. We expect that our initial observations can bring a new understanding of the process and, thus, help in the design of next generation video enriching tools

    ์‚ฌ์šฉ์ž ์ƒ์„ฑ ์ฝ˜ํ…์ธ  ์›น ์‚ฌ์ดํŠธ์˜ ๋™์˜์ƒ ํ™•์‚ฐ-Bilibili๊ธฐ๋ฐ˜์œผ๋กœ ์‹ค์ฆ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต,2019. 8. ํ™ฉ์ค€์„.User-generated content emphasis user value, and based on the development of Web 2.0, it takes an important position whatever in information diffusion and market management part. Therefore, it is necessary to identify which factors would give influence to information diffusion in UGC. This thesis based on a video UGC website โ€“ Bilibili, try to find influential factors during the video diffusion process. Different from previous research which mainly focuses on the social network, this thesis mainly used video characteristic data to explore effective factors to video diffusion. First, after the draw the number of views increase trend within one month, views trend in Bilibili indicates that video diffusion showed a different diffusion curve. Then through careful analysis of each different diffusion periods, this thesis found the influential factors are different during different diffusion periods. The analysis result showed that higher interactive among users and contents could attract more people to watch the video which improves video diffusion rate, and also showed the impacts of general comment below the video and sharing activity, video quality to video diffusion. Based on this thesis, some marginal implications also introduced such as it could provide some basis for web designers, people who use UGC as a marketing tool and users who want to be a UGC content producer.์‚ฌ์šฉ์ž ์ƒ์„ฑ ์ฝ˜ํ…์ธ  (UGC) ์‚ฌ์šฉ์ž์˜ ๊ฐ€์น˜๋ฅผ ๊ฐ•์กฐํ•˜๋ฉฐ Web 2.0์˜ ๊ฐœ๋ฐœ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ •๋ณด ํ™•์‚ฐ ๋ฐ ์‹œ์žฅ ๊ด€๋ฆฌ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ๊ฐ€์ง€๊ณ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ UGC์›น ์‚ฌ์ดํŠธ์—์„œ ์–ด๋–ค ์š”์†Œ๊ฐ€ ์ •๋ณด ํ™•์‚ฐ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ๊ฒƒ์ธ์ง€๋ฅผ ์‹๋ณ„ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด ๋…ผ๋ฌธ์€ Bilibili์›น ์‚ฌ์ดํŠธ ๊ธฐ๋ฐ˜์œผ๋กœ, ๋น„๋””์˜ค ํ™•์‚ฐ ๊ณผ์ •์—์„œ ์˜ํ–ฅ๋ ฅ์žˆ๋Š” ์š”์ธ์„ ์ฐพ์•„ ๋ณด๋ ค๊ณ ํ•œ๋‹ค. ์ฃผ๋กœ ์†Œ์…œ ๋„คํŠธ์›Œํฌ์— ์ดˆ์ ์„ ๋งž์ถ˜ ์„ ํ–‰ ๋ฌธํ—Œ์™€๋Š” ๋‹ฌ๋ฆฌ, ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ฃผ๋กœ ๋น„๋””์˜ค ํŠน์„ฑ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋น„๋””์˜ค ํ™•์‚ฐ์— ํšจ๊ณผ์ ์ธ ์š”์†Œ๋ฅผ ํƒ๊ตฌํ–ˆ๋‹ค. ์ฒซ์งธ, 1 ๊ฐœ์›” ์ด๋‚ด์— ๋น„๋””์˜ค ์กฐํšŒ์ˆ˜ ์ฆ๊ฐ€ ์ถ”์„ธ ํŒŒ์•…ํ–ˆ๊ณ  ๋น„๋””์˜ค ํ™•์‚ฐ์—๋Š” ์„ธ ๊ฐ€์ง€ ๋‹จ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋‘˜์งธ, ๊ฐ ๋‹จ๊ณ„์—์„œ ๋น„๋””์˜ค ํ™•์‚ฐ์— ๋ฏธ์น˜๋Š” ์š”์ธ์ด ๋ฌด์—‡์ธ์ง€ ๋ถ„์„ํ–ˆ๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ ๋ณด๋ฉด ์‚ฌ์šฉ์ž์™€ ์ฝ˜ํ…์ธ ์˜ ์ƒํ˜ธ ์ž‘์šฉ์ด ๋†’์„์ˆ˜๋ก ๋” ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด ๋™์˜์ƒ์„ ๋ณผ ์ˆ˜ ์žˆ์–ด ๋™์˜์ƒ ํ™•์‚ฐ ์†๋„๊ฐ€ ํ–ฅ์ƒ ๋  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์„ ๋ฐ”ํƒ•์œผ๋กœ ์›น ๋””์ž์ด๋„ˆ, UGC๋ฅผ ๋งˆ์ผ€ํŒ… ๋„๊ตฌ๋กœ ์‚ฌ์šฉํ•˜๋Š” ์‚ฌ๋žŒ๋“ค ๋ฐ UGC ์ฝ˜ํ…์ธ  ์ œ์ž‘์ž๊ฐ€๋˜๊ธฐ๋ฅผ ์›ํ•˜๋Š” ์‚ฌ์šฉ์ž์—๊ฒŒ ๊ธฐ๋ณธ์ ์ธ ๊ทผ๊ฑฐ๋ฅผ ์ œ๊ณต ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ๊ณผ ๊ฐ™์€ ๋ช‡ ๊ฐ€์ง€ ์ค‘์š”ํ•œ ํ•จ์˜๊ฐ€ ์†Œ๊ฐœ๋˜์—ˆ๋‹ค.Table of content: 1. Introduction 1 2. Literature review 4 2.1 UGC and Bilibili. 4 2.2 Video diffusion in UGC 6 2.3 Hypotheses 9 3 Data and Methodology. 12 3.1 Data 12 3.2 Methodology. 16 4. Analysis results and Conclusion. 19 4.1 Analysis result. 19 4.2 Conclusion 21 4.2.1 Conclusion of daily views. 21 4.2.2 Conclusion of video attributes. 22 5. Implications and limitations 26 5.1 Implications 26 5.2 Limitations. 28 Reference: 29 Appendix: 37 ๊ตญ๋ฌธ์ดˆ๋ก 43Maste

    Socially-Aware Multimedia Authoring

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    Bulterman, D.C.A. [Promotor]Cesar, P.S. [Copromotor
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