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Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms

Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms

Artur Miguel Arsenio
Copyright: © 2014 |Pages: 27
ISBN13: 9781466648685|ISBN10: 1466648686|EISBN13: 9781466648692
DOI: 10.4018/978-1-4666-4868-5.ch008
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MLA

Arsenio, Artur Miguel. "Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms." Research Developments in Biometrics and Video Processing Techniques, edited by Rajeev Srivastava, et al., IGI Global, 2014, pp. 156-182. https://doi.org/10.4018/978-1-4666-4868-5.ch008

APA

Arsenio, A. M. (2014). Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms. In R. Srivastava, S. Singh, & K. Shukla (Eds.), Research Developments in Biometrics and Video Processing Techniques (pp. 156-182). IGI Global. https://doi.org/10.4018/978-1-4666-4868-5.ch008

Chicago

Arsenio, Artur Miguel. "Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms." In Research Developments in Biometrics and Video Processing Techniques, edited by Rajeev Srivastava, S.K. Singh, and K.K. Shukla, 156-182. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4868-5.ch008

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Abstract

One of the main concerns for current multimedia platforms is the provisioning of content that provides a good Quality of Experience to end-users. This can be achieved through new interactive, personalized content applications, as well by improving the image quality delivered to the end-user. This chapter addresses these issues by describing mechanisms for changing content consumption. The aim is to give Application Service Providers (ASPs) new ways to allow users to configure contents according to their personal tastes while also improving their Quality of Experience, and to possibly charge users for such functionalities. The authors propose to employ computer vision techniques to produce extra object information, which further expands the range of video personalization possibilities on the presence of new video coding mechanisms.

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