Results 21 to 30 of about 26,331 (257)
Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard
Entropy, 2021 In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard.
Dariusz Puchala +2 more
doaj +1 more source
IEEE Access, 2020 As speed of communication data path is drastically improved in this decade due to the high data rate, evolutional technology is demanded to address the fast communication implementation.
Shinichi Yamagiwa, Suzukaze Kuwabara
doaj +1 more source
Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor
Applied Sciences, 2021 The use of sensor applications has been steadily increasing, leading to an urgent need for efficient data compression techniques to facilitate the storage, transmission, and processing of digital signals generated by sensors. Unlike other sequential data
Qianhao Chen, Wenqi Wu, Wei Luo
doaj +1 more source
Universal Adaptive Stream-Based Entropy Coding
IEEE AccessData stream is a major data type in modern information equipment such as sensory and video/sound devices, which is fast and continuously generated without any stall cycle. Due to artificial intelligence becoming a common tool to extend application domain
Shinichi Yamagiwa, Taiki Kato
doaj +1 more source
The Compression Optimality of Asymmetric Numeral Systems
Entropy, 2023 Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as ...
Josef Pieprzyk +5 more
doaj +1 more source
Learning on Entropy Coded Images with CNN
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 We propose an empirical study to see whether learning with convolutional neural networks (CNNs) on entropy coded data is possible. First, we define spatial and semantic closeness, two key properties that we experimentally show to be necessary to guarantee the efficiency of the convolution.
Piau, Rémi +2 more
openaire +2 more sources
Analysis of the Limitations of Further Improvement of the Efficiency of VVC-CABAC
IEEE Access, 2023 Hybrid video compression plays an invaluable role in digital video transmission and storage services and systems. It performs several-hundred-fold reduction in the amount of video data, which makes these systems much more efficient.
Damian Karwowski +3 more
doaj +1 more source
Sensors, 2019 Within an Internet of Multimedia Things, the risk of disclosing streamed video content, such as that arising from video surveillance, is of heightened concern. This leads to the encryption of that content.
Amna Shifa +4 more
doaj +1 more source
Entropy Coding Aided Adaptive Subcarrier-Index Modulated OFDM
IEEE Access, 2018 We propose entropy coding-aided adaptive subcarrier-index-modulated orthogonal frequency division multiplexing (SIM-OFDM). In conventional SIM-OFDM, the indices of the subcarriers activated are capable of conveying extra information. We propose the novel
Mohammad Ismat Kadir +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source