Saliency Detection in Video Advertisements using Gaze Analysis: Estimating the Salient Features in a Video through Gaze Detection Algorithm - Couverture souple

Ullah Khan, Inam; Mateen, Faraz; Solaija, Muhammad Sohaib Jamal

 
9783659866265: Saliency Detection in Video Advertisements using Gaze Analysis: Estimating the Salient Features in a Video through Gaze Detection Algorithm
Couverture souple
ISBN 10 : 3659866261 ISBN 13 : 9783659866265
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Detection of salient features in a video has a wide range of applications. Through gaze tracking, important and interesting features of a video can be highlighted. This data can be used to make the advertisements better and effective. Gaze detection gives an estimation of the points that were under more focus by the viewers. Greater the sample space of the data, better the generic estimation of important points. This data is further parsed through different algorithms to achieve a better accuracy. These algorithms also test the validity of the data or whether the data points collected are sufficient are not. Each algorithm used manipulates the data in a different way to get maximum coverage of all the possible aspects. Finally, the result obtained is a small region of the frame that captures the maximum attention of the viewer

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Présentation de l'éditeur

Detection of salient features in a video has a wide range of applications. Through gaze tracking, important and interesting features of a video can be highlighted. This data can be used to make the advertisements better and effective. Gaze detection gives an estimation of the points that were under more focus by the viewers. Greater the sample space of the data, better the generic estimation of important points. This data is further parsed through different algorithms to achieve a better accuracy. These algorithms also test the validity of the data or whether the data points collected are sufficient are not. Each algorithm used manipulates the data in a different way to get maximum coverage of all the possible aspects. Finally, the result obtained is a small region of the frame that captures the maximum attention of the viewer

Biographie de l'auteur

All authors are Electrical Engineering graduates from SEECS, NUST, Islamabad. Mr Inam is a consultant in the information technology industry. Mr Solaija is a research scientist with concentration in digital signal processing. Mr Faraz is a software developer at a cloud computing product company in the Silicon Valley

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659866261
ISBN 13 
9783659866265
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
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