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Publicação
Semantic Video Quality Assessment
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 4.35 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The increasing availability of high-speed internet connections, the increase in smartphone
usability and also the ubiquity of social networking, all combined, help to create a great
diversity of User-Generated Content (UGC). Along with this expansion, Ultra High Definition
(UHD) broadcast technology has been developing rapidly since its beginning. This
created the need to distinguish between good and bad quality videos.
The best way to assess the quality of a video is through the human eye. However, given
the amount of content it becomes quite impractical. Therefore, computational methods
are used. These methods try to assess it as close as possible to what would be assessed by
the human vision.
The semantics of a video is the meaning of the video itself and using this information,
an idea of what the video is about can be provided, helping even in the assessment of
a video. Having that in mind, this thesis uses a video collection and a news articles
collection in order to extract the information regarding the objects in the scene and the
terms in the news. The similarity between both information is taken into consideration
to assess the quality o the videos. In this way, the assessment is done using semantic
information.
The main contributions of this work are the video quality assessment based on semantic
information and an evaluation of a set of object detection algorithms used for semantic
extraction in videos.
Descrição
Palavras-chave
User Generated Content Video Quality Assessment Semantic Video Processing Object Detection