Public Transport Vehicle Detection Based on Visual Information

Leszczuk, Mikołaj; Baran, Remigiusz; Skoczylas, Łukasz; Rychlik, Mariusz; Ślusarczyk, Przemysław

doi:10.1007/978-3-319-07569-3_2

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Cited by 2 publications

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“…It was proposed in 2001 by Viola and Jones [27]. Although it can be trained to detect a variety of object classes [1,12], for example the mouth region as in this algorithm, its development was motivated by the problem of face detection. The mouth region will be our Region Of Interest (ROI).…”

Section: Algorithmmentioning

confidence: 99%

Monitoring of audio visual quality by key indicators

Fernández¹,

Leszczuk

2017

Multimed Tools Appl

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Over 10 billion hours of video are watched online every month. Together with high definition television broadcasting and the rise in high quality video on demand, this makes quality assessment a key task in the global multimedia market. Automating quality checking is currently based on finding major audiovisual artefacts. The Monitoring Of Audio Visual quality by key Indicators (MOAVI) subgroup of the Video Quality Experts Group (VQEG) is an open collaborative project for developing No-Reference models for monitoring audiovisual service quality. The purpose of this paper is to report on the development of the audiovisual part of this project, which includes the detection of muting, clipping and lip synchronization (also known as lip sync) artefacts.

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Section: Algorithmmentioning

confidence: 99%