Last modified: 25 Sep 2019 09:58
This course introduces the tools needed to analyse audio recordings, images and videos.
It will contain aspects of image enhancements, content detection, segmentation analysis (e.g. detecting tumours in medical imaging data), handwritten character recognition, subtitle analysis, and many other techniques.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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This course introduces the tools needed to analyse audio recordings, images and videos.
It will contain aspects of image enhancements, content detection, segmentation analysis (e.g. detecting tumours in medical imaging data), handwritten character recognition, subtitle analysis, and many other techniques.
For audio analysis these topics will be covered:
intro to audio signals, signal transforms and filtering, audio content classification, speech recognition, audio segmentation, alignment and temporal modelling
For image analysis the following topics will be covered:
digital image fundamentals, intensity transformation and spatial filtering, filtering in the frequency domain, image restoration and reconstruction, wavelets and other image transforms, image compression and watermarking, morphological image processing, image segmentation, feature extraction, pattern classification.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | 31 | Feedback Weeks | 33 | |
| Feedback |
Written comments. |
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 60 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 15 | |
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| Assessment Weeks | 31,32,33 | Feedback Weeks | 31,32,33 | |
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 60 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Understand | Identify basic concepts, terminology and methods in the field of digital audio and image analysis. |
| Conceptual | Understand | Develop an understanding of the fundamental mathematical principles underlying audio and image analysis. |
| Procedural | Apply | Be able to carry out standard segmentation, filtering, recognition and other basic procedures of audio and video data analysis. |
| Procedural | Evaluate | Develop the abilities needed to critically compare different tool and approaches of audio and image analysis and chose the ones better suited for a given task. |
| Procedural | Understand | Identify basic concepts, terminology and methods in the field of digital audio and image analysis. |
| Conceptual | Understand | Develop an understanding of the fundamental mathematical principles underlying audio and image analysis. |
| Procedural | Apply | Be able to carry out standard segmentation, filtering, recognition and other basic procedures of audio and video data analysis. |
| Procedural | Evaluate | Develop the abilities needed to critically compare different tool and approaches of audio and image analysis and chose the ones better suited for a given task. |
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