Yazar "Nur Yilmaz, Gokce" için Elektrik-Elektronik Mühendisliği Bölümü listeleme
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An Abstraction and Structural Information Based Depth Perception Evaluation Metric
Nur Yilmaz, Gokce; Bayrak, Huseyin (Ieee, 2017)Developing reliable and efficient 3 Dimensional (3D) video depth perception evaluation metrics is currently a trending research topic for supporting the advancement of the 3D video services. This support can be proliferated ... -
A Depth Perception Evaluation Metric For Immersive 3d Video Services
Nur Yilmaz, Gokce (Ieee, 2017)Burgeoning advances in 3 Dimensional (3D) video services provide a big leap on the proliferation of the investigations for developing reliable and competent perceptual 3D video Quality of Experience (QoE) metrics. This ... -
Depth Perception Prediction of 3D Video for Ensuring Advanced Multimedia Services
Nur Yilmaz, Gokce; Battisti, Federica (Ieee, 2018)A key role in the advancement of 3 Dimensional TV services is played by the development of 3D video quality metrics used for the assessment of the perceived quality. Moreover, this key role can only be supported when the ... -
Depth Perception Prediction of 3D Video QoE for Future Internet Services
Nur Yilmaz, Gokce (Ieee, 2018)3 Dimensional (3D) video Quality of Experience (QoE) metrics are at utmost importance to enable enhancement of Future Internet Services. This enhancement can only be supported when the 3D video is characterized in the most ... -
No-Reference Evaluation of 3 Dimensional Video Quality Using Spatial and Frequency Domain Components
Bayrak, Huseyin; Nur Yilmaz, Gokce (Ieee, 2018)Video Quality Assessment (VQA) plays an important role both for evaluating the performance of the transmitter-receiver system and for delivering the video in an efficient manner via the feedback it provides to the transmitter ... -
Scene Detection via Depth Maps Of 3 Dimensional Videos
Bayrak, Huseyin; Nur Yilmaz, Gokce (Ieee, 2017)Scene detection via processing of multimedia data is a significant research area for the advancement of the video technologies and applications. Currently, the scene detection is mostly performed manually. Thus, it is time ...