Results 151 to 160 of about 12,900 (204)
Patched-Based Swin Transformer Hyperprior for Learned Image Compression. [PDF]
Buthelezi SB, Tapamo JR.
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Lossless and Near-Lossless L-Infinite Compression of Depth Video Data. [PDF]
Tahouri MA +3 more
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Lossless Image Compression Using Context-Dependent Linear Prediction Based on Mean Absolute Error Minimization. [PDF]
Ulacha G, Ćazoryszczak M.
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Image rain removal network based on checkerboard transformer and CNN hybrid mechanism. [PDF]
Yang Y +7 more
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Mapping the technological evolution of generative AI: a patent network analysis. [PDF]
Mohammadi N +3 more
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Three-Dimensional Point Cloud Applications, Datasets, and Compression Methodologies for Remote Sensing: A Meta-Survey. [PDF]
Dumic E, da Silva Cruz LA.
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Comparative Analysis: Conventional Video Codecs v/s Compressive Sensing Video Codecs
2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST), 2018In this paper, a comparative analysis of conventional video codecs and compressive sensing video codec is presented. Initially, the state of the art CS video codec are compared to identify the best among them. Latter, the selected CS video codec is compared with conventional video codecs (H.263, H.264, DISCOVER).
Mansoor Ebrahim +3 more
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2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Video content is routinely acquired and distributed in digital format. Therefore, it is customary to have the content encoded multiple times. In this paper we consider a processing chain of two coding steps and we propose a method that aims at identifying the type of codec used in the first step, by analyzing its coding-based footprints.
BESTAGINI, PAOLO +4 more
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Video content is routinely acquired and distributed in digital format. Therefore, it is customary to have the content encoded multiple times. In this paper we consider a processing chain of two coding steps and we propose a method that aims at identifying the type of codec used in the first step, by analyzing its coding-based footprints.
BESTAGINI, PAOLO +4 more
openaire +1 more source

