Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/132838
Author(s): Guilherme Dias Castro
Title: Identification of Advertising Segmentsin a Broadcasting Environment
Issue Date: 2020-07-24
Description: With the emergence of new content diffusion platforms, there is a growing need to detect advertising in TV broadcasts, so that they can be replaced or omitted in cases of retransmissions or publications. This is equally advantageous for searching or showcase purposes without publicity intentions. From consumers point of view, it would be very appealing to have the possibility to watch recorded programs in their home boxes without advertising interruptions. This dissertation aims to develop an algorithm able to make the identification of advertisements in recorded videos based on the detection of a channel logo and having no apriori knowledge of its content. With this purpose, the methods developed should use logo information intensively, as well as other visual features, to make this tool flexible and applicable to any channel, in any country.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI: 10.34626/95ax-6469
TID identifier: 202590640
URI: https://hdl.handle.net/10216/132838
Document Type: Dissertação
Rights: openAccess
Appears in Collections:FEUP - Dissertação

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