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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shahid, M. Khatibi, S. Tuemay, Y. |
| Copyright Year | 2014 |
| Description | Author affiliation: Blekinge Inst. of Technol., Karlskrona, Sweden (Shahid, M.; Khatibi, S.; Tuemay, Y.) |
| Abstract | Popularity of the streaming media content such as videos can be ascribed to the perceptual quality, to some extent, of the content. The traditional methods of audio/video quality assessment lack in provision of the input from higher cognitive of the human perception. Some studies have revealed that liking or disliking of a certain content can bias the human judgement towards video quality. In this paper, we have examined the impact of the use of semantic quality indicators namely audio content, audio quality, video content, and video quality in the assessment of quality of a video. Further, we have proposed a methodology to use these indicators for designing a prediction model for the popularity of streaming videos. |
| Starting Page | 344 |
| Ending Page | 348 |
| File Size | 241233 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479954018 |
| e-ISBN | 9781479954032 |
| DOI | 10.1109/ChinaSIP.2014.6889261 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video Quality Semantics Video Content Streaming media Quality assessment Multimedia communication Indexes Video recording YouTube Semantic Quality |
| Content Type | Text |
| Resource Type | Article |
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