Publicação
Multimedia data extraction and analysis tool: focus on video and image processing
| datacite.subject.fos | Informática | pt_PT |
| dc.contributor.advisor | Silva, Fábio André Souto da | |
| dc.contributor.author | Bragança, João Miguel Teixeira | |
| dc.date.accessioned | 2024-12-17T11:21:51Z | |
| dc.date.available | 2024-12-17T11:21:51Z | |
| dc.date.issued | 2024 | |
| dc.date.submitted | 2024 | |
| dc.description.abstract | In today’s digital landscape, the rapid growth of multimedia content, particularly from influencers, has created a critical need for advanced monitoring tools. Building on previous research in multimedia data analysis, this dissertation proposes the development of a tool for extracting and analysing multimedia data to detect violations in influencer-produced content. The tool leverages pre-trained models such as Whisper.AI for speech recognition, YOLOv8 for object detection, and EasyOCR for Optical Character Recognition (OCR). Additionally, sentiment analysis models are employed and tested, with YOLOv8 further trained for specific tasks such as logo detection, ensuring adaptability to various use cases. The objective of this dissertation is to design a versatile and customisable tool capable of performing precise content analysis, including object detection, speech transcription, OCR, sentiment analysis, image classification and logo detection. The solu | pt_PT |
| dc.identifier.tid | 203759940 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/26891 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Multimedia data analysis | pt_PT |
| dc.subject | Object detection | pt_PT |
| dc.subject | Speech recognition | pt_PT |
| dc.subject | Sentiment analysis | pt_PT |
| dc.subject | Content monitoring | pt_PT |
| dc.subject | Logo detection | pt_PT |
| dc.subject | Image Classification | pt_PT |
| dc.subject | Optical Character Recognition | pt_PT |
| dc.title | Multimedia data extraction and analysis tool: focus on video and image processing | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Engenharia Informática | pt_PT |
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