Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the main properties of a three-dimensional (3D) video is the large amount of data, which impose challenges for network transport of videos, in applications such as digital video broadcast (DVB), streaming over IP networks, or for transmission over mobile broadband. Addressing these challenges requires a thorough understanding of the characteristics and traffic properties of 3D video formats.  analyzed 3D video formats using publicly available long video frame-size traces of videos in full high definition (HD) resolution with two views. Examined 3D video representation formats are the multiview (MV) video format, the frame sequential (FS) format, and the side-by-side (SBS) format.  performed a multifractal analysis through extensive simulation and shod multifractal properties of 3D video representation formats. It was shown that the MV video had the highest multifractal nature, while the FS video had the lost. Also, a part of the multifractal spectrum connected to the highest changes in the signal (high bitrate variability) is analyzed in detail. Changes in multifractal properties for different streaming approaches of 3D videos with aggregated frames are examined, as ll as the influence of frame types and values of quantization parameters. Multifractal analysis was performed by the method of moments and by the histogram method.
['Amela Zekovic', 'Irini Reljin']
I am writing a research paper on a idea Multifractal analysis of 3D video representation formats
[{"from": "human", "value": "I am writing a research paper on a idea Multifractal analysis of 3D video representation formats"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the main properties of a three-dimensional (3D) video is the large amount of data, which impose challenges for network transport of videos, in applications such as digital video broadcast (DVB), streaming over IP networks, or for transmission over mobile broadband. Addressing these challenges requires a thorough understanding of the characteristics and traffic properties of 3D video formats.  analyzed 3D video formats using publicly available long video frame-size traces of videos in full high definition (HD) resolution with two views. Examined 3D video representation formats are the multiview (MV) video format, the frame sequential (FS) format, and the side-by-side (SBS) format.  performed a multifractal analysis through extensive simulation and shod multifractal properties of 3D video representation formats. It was shown that the MV video had the highest multifractal nature, while the FS video had the lost. Also, a part of the multifractal spectrum connected to the highest changes in the signal (high bitrate variability) is analyzed in detail. Changes in multifractal properties for different streaming approaches of 3D videos with aggregated frames are examined, as ll as the influence of frame types and values of quantization parameters. Multifractal analysis was performed by the method of moments and by the histogram method."}]