Automated Classification of internet video content

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DIT PhD Project
Supervisor name & contact details:
Name
Email
Dr. Susan McKeever
[email protected]
Supervisors Profile:
Weblinkhttp://www.dit.ie/computing/staff/drsusan
mckeever/
Research Centre (if applicable):
Cedar/ School of Computing
Research Centre website (if applicable):
ceADAR group @
http://www.dit.ie/computing/research/
Supervisors Publication List:
http://arrow.dit.ie/do/search/?q=susan%20mc
keever&start=0&context=680085k to arrow
Title of the Project:
Automated Classification of internet video content
Project Summary:
Key words: Machine learning, classification, multi media, image processing.
There has been enormous growth in the volume of video material posted on the internet for
public and private consumption. For example, 300 hours of new video footage is uploaded to
YouTube every minute [1].
A major challenge for businesses is to process the volume of uploaded video content. The video
content needs to be classified into safe versus abusive content – and further into genres such as
news, sports, comedy and education. Current methods focus heavily on visual and /or text
content of video, with less focus on including embedded audio content [2]. This project initially
proposes to use an audio-led machine learning approach to classification, based on the premise
that the audio content of a digital audio-visual segment will provide rich information for
classification. We will enhance our approach through exploring the latest techniques in image
content for building classification features. The student will have the freedom to explore new
mechanisms for improving video classification results.
1] 2015 YouTube, https://www.youtube.com/yt/press/statistics.html
[2] 2011, W Hu, N Xie, L Li, X Zeng, “A Survey on Visual Content-Based Video Indexing and
Retrieval”, IEEE Systems, Man and Cybernetics, Volume 14, Issue 6.
Ciência sem Fronteiras / Science Without Borders Priority Area:
Engineering and other technological areas
Pure and Natural Sciences (e.g. mathematics, physics, chemistry)
Health and Biomedical Sciences
Information and Communication Technologies (ICTs)
Aerospace
Pharmaceuticals
Sustainable Agricultural Production
Oil, Gas and Coal
Renewable Energy
Minerals
Biotechnology
Nanotechnology and New Materials
Technology of prevention and remediation of natural disasters
Biodiversity and Bioprospection
Marine Sciences
X
Creative Industry
New technologies in constructive engineering
Capacity Building for technological personnel
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