Client-Driven Personalized Trailer Framework Using Thumbnail Containers
Movie trailers are prepared using a one-size-fits-all framework. These days, however, streaming platforms seek to overcome this problem and provide personalized trailers via the investigation of centralized server-side solutions. This can be achieved by analyzing personal user data, and can lead to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9046852/ |
| _version_ | 1818665281919123456 |
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| author | Ghulam Mujtaba Eun-Seok Ryu |
| author_facet | Ghulam Mujtaba Eun-Seok Ryu |
| author_sort | Ghulam Mujtaba |
| collection | DOAJ |
| description | Movie trailers are prepared using a one-size-fits-all framework. These days, however, streaming platforms seek to overcome this problem and provide personalized trailers via the investigation of centralized server-side solutions. This can be achieved by analyzing personal user data, and can lead to two major issues: privacy violation and enormous demand in computational resources. This paper proposes an innovative, low-power, client-driven method to facilitate the personalized trailer generation process. It tackles the complex process of detecting personalized actions in real-time from lightweight thumbnail containers. The HTTP live streaming (HLS) server and client are locally configured to validate the proposed method. The system is designed to support a wide range of client hardware with different computational capabilities and has the flexibility to adapt to network conditions. To test the effectiveness of this method, twenty-five broadcast movies, specifically in the western and sports genres, are evaluated. To the best of our knowledge, this is the first-ever client-driven framework that uses thumbnail containers as input to facilitate the trailer generation process. |
| first_indexed | 2024-12-17T05:46:09Z |
| format | Article |
| id | doaj.art-09971a4a608e4fd38d7e8e4ccd6ee3bc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:46:09Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-09971a4a608e4fd38d7e8e4ccd6ee3bc2022-12-21T22:01:18ZengIEEEIEEE Access2169-35362020-01-018604176042710.1109/ACCESS.2020.29829929046852Client-Driven Personalized Trailer Framework Using Thumbnail ContainersGhulam Mujtaba0https://orcid.org/0000-0001-9244-5346Eun-Seok Ryu1https://orcid.org/0000-0003-4894-6105Department of Computer Engineering, Gachon University, Seongnam, South KoreaDepartment of Computer Education, Sungkyunkwan University, Seoul, South KoreaMovie trailers are prepared using a one-size-fits-all framework. These days, however, streaming platforms seek to overcome this problem and provide personalized trailers via the investigation of centralized server-side solutions. This can be achieved by analyzing personal user data, and can lead to two major issues: privacy violation and enormous demand in computational resources. This paper proposes an innovative, low-power, client-driven method to facilitate the personalized trailer generation process. It tackles the complex process of detecting personalized actions in real-time from lightweight thumbnail containers. The HTTP live streaming (HLS) server and client are locally configured to validate the proposed method. The system is designed to support a wide range of client hardware with different computational capabilities and has the flexibility to adapt to network conditions. To test the effectiveness of this method, twenty-five broadcast movies, specifically in the western and sports genres, are evaluated. To the best of our knowledge, this is the first-ever client-driven framework that uses thumbnail containers as input to facilitate the trailer generation process.https://ieeexplore.ieee.org/document/9046852/Client-driventhumbnail containerspersonalized media |
| spellingShingle | Ghulam Mujtaba Eun-Seok Ryu Client-Driven Personalized Trailer Framework Using Thumbnail Containers IEEE Access Client-driven thumbnail containers personalized media |
| title | Client-Driven Personalized Trailer Framework Using Thumbnail Containers |
| title_full | Client-Driven Personalized Trailer Framework Using Thumbnail Containers |
| title_fullStr | Client-Driven Personalized Trailer Framework Using Thumbnail Containers |
| title_full_unstemmed | Client-Driven Personalized Trailer Framework Using Thumbnail Containers |
| title_short | Client-Driven Personalized Trailer Framework Using Thumbnail Containers |
| title_sort | client driven personalized trailer framework using thumbnail containers |
| topic | Client-driven thumbnail containers personalized media |
| url | https://ieeexplore.ieee.org/document/9046852/ |
| work_keys_str_mv | AT ghulammujtaba clientdrivenpersonalizedtrailerframeworkusingthumbnailcontainers AT eunseokryu clientdrivenpersonalizedtrailerframeworkusingthumbnailcontainers |