Advanced Adaptation Techniques for Improved Video Perception
Yükleniyor...
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Three different advanced adaptation techniques for improving the video perception of users are proposed in this paper. The proposed techniques exploit different adaptation decision-taking and adaptation approaches to adapt particular core parameters while considering diverse contextual information and constraints to achieve improved video perception of users. The first proposed technique employs a utility-based adaptation approach to perform adaptation operations on spatial resolution, frame rate, and quality scalability parameters according to the content-related contextual information (i.e., motion activity and structural feature) while fulfilling network bandwidth and terminal display size constraints. Using this technique, video contents can be adapted with the scalability parameters best fitting users' and contextual constraints' needs to achieve improved video perception. The second technique relies on prioritizing key frame, non-key frame, and temporal layer parameter-related network abstraction layer units to adapt video contents to satisfy network bandwidth constraint. The rate-distortion performances of adapted video contents can be improved by utilizing this technique in adaptation operations both in terms of bit rate of adapted video contents and video perception of users. The third technique is based on adapting the bit rate of 3-D video contents according to the changes in ambient illumination of the viewing environment. The adaptation results evaluated by either subjective or objective quality assessment techniques prove that all of the proposed techniques are efficient to improve the video perception of users.
Açıklama
Dogan, Safak/0000-0002-1465-6495; Kodikara Arachchi, Hemantha/0000-0002-5631-3239; NUR YILMAZ, Gokce/0000-0002-0015-9519
Anahtar Kelimeler
Adaptation decision taking, ambient illumination, network abstraction layer unit, scalable video coding, utility function, video adaptation, video perception
Kaynak
Ieee Transactions On Circuits And Systems For Video Technology
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
22
Sayı
2
Künye
Nur, G., Arachchi, H.K., Dogan, S., & Kondoz, A.M. (2012). Advanced Adaptation Techniques for Improved Video Perception. IEEE Transactions on Circuits and Systems for Video Technology, 22, 225-240.
