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9783659866265: Saliency Detection in Video Advertisements using Gaze Analysis: Estimating the Salient Features in a Video through Gaze Detection Algorithm

Sinopsis

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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Reseña del editor

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

Biografía del autor

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

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Inam Ullah Khan
ISBN 10: 3659866261 ISBN 13: 9783659866265
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 52 pp. Englisch. Nº de ref. del artículo: 9783659866265

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Inam Ullah Khan
Publicado por LAP Lambert Academic Publishing, 2016
ISBN 10: 3659866261 ISBN 13: 9783659866265
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783659866265

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Inam Ullah Khan|Faraz Mateen|Muhammad Sohaib Jamal Solaija
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659866261 ISBN 13: 9783659866265
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ullah Khan InamAll 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 proc. Nº de ref. del artículo: 158248457

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Inam Ullah Khan
ISBN 10: 3659866261 ISBN 13: 9783659866265
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Taschenbuch. Condición: Neu. Neuware -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 viewerBooks on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Nº de ref. del artículo: 9783659866265

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Inam Ullah Khan
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659866261 ISBN 13: 9783659866265
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Librería: Revaluation Books, Exeter, Reino Unido

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Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Nº de ref. del artículo: 3659866261

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