Video texture analysis for VVC content

被引:0
|
作者
Fatma, Belghith [1 ]
Taheni, Damak [2 ]
Sonda, Ben Jdidia [1 ,2 ]
Bouthaina, Abdallah [1 ]
Ali, Ben Ayed Mohamed
Nouri, Masmoudi [1 ]
机构
[1] Univ Sfax, ENIS, LETI, Sfax, Tunisia
[2] Univ Sfax, NTSCOM, ENETCOM, Sfax, Tunisia
关键词
Video content; texture; Canny; standard deviation;
D O I
10.1109/ATSIP62566.2024.10639036
中图分类号
学科分类号
摘要
Examining video characteristics, particularly leveraging filters such as Canny and calculating image standard deviation, prior to the video coding process is a crucial pre-processing step that enhances the efficiency and quality of the coding workflow. By applying filters like Canny, valuable insights into the spatial distribution of edges are gained, enabling precise identification of regions with varying complexity. Simultaneously, the calculation of standard deviation provides a quantitative measure of pixel intensity variations, aiding in the assessment of overall image texture. This meticulous analysis, as proposed by our method, enables the optimization of coding parameters, including the selection of suitable compression algorithms and the refinement of spatial and temporal redundancy reduction strategies. Ultimately, the strategic incorporation of filter-based analyses in the preprocessing phase not only refines video coding processes but also lays the foundation for improved compression outcomes, addressing the unique characteristics of each video sequence with precision.
引用
收藏
页码:223 / 227
页数:5
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