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Toplam kayıt 5, listelenen: 1-5
Scene Detection via Depth Maps Of 3 Dimensional Videos
(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 ...
An Abstraction and Structural Information Based Depth Perception Evaluation Metric
(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 ...
No-Reference Evaluation of 3 Dimensional Video Quality Using Spatial and Frequency Domain Components
(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 ...
Structural Depth Estimation Via Depth Maps Of 3 Dimensional Videos
(Ieee, 2016)
3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for researchers working in this area. The reason is there isn't any well accepted and standardized VQA method for 3 Dimensional (3D) as for ...
Z-Direction Motion Estimation In 2d+Depth Map Based 3d Video
(Ieee, 2014)
3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for today's researchers along with the growing interest in 3D video. Even though, 2-Dimensional (2D) objective VQA metrics that are widely utilized ...