| Project/Area Number |
15K00152
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | The University of Tokushima |
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Principal Investigator |
Shimamoto Takashi 徳島大学, 大学院社会産業理工学研究部(理工学域), 教授 (20170962)
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| Co-Investigator(Kenkyū-buntansha) |
宋 天 徳島大学, 大学院社会産業理工学研究部(理工学域), 准教授 (10380130)
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| Research Collaborator |
Katayama Takafumi 徳島大学, 大学院先端技術科学教育部, 大学院生
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| Project Period (FY) |
2015-10-21 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | HEVC / cloud based video coding / 動画像符号化 |
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| Outline of Final Research Achievements |
This research focuses on finding efficient algorithms for video coding as a pre-processing process for the next generation video-coding standard. Our new proposal for both intra and inter coding of traditional video coding standard is constructed using a cloud based approach.
Several efficient algorithms are proposed for both intra and inter coding. These algorithms are significant contributions for not only the coding efficiency and coding speed. It provided a well-balanced processing method that is very significant issue for hardware implementations. The current version of the research result has deep relation with the network speed.
Some new approaches concerning the database construction on the cloud have been proposed including a CNN-based object recognition model. These new approaches introduced more new possibility, which encouraged us to go on this research.
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