Results 41 to 50 of about 651 (177)

The disparity between optimal and practical Lagrangian multiplier estimation in video encoders

Frontiers in Signal Processing, 2023
With video streaming making up 80% of the global internet bandwidth, the need to deliver high-quality video at low bitrate, combined with the high complexity of modern codecs, has led to the idea of a per-clip optimisation approach in transcoding.
Daniel Joseph Ringis, Vibhoothi, François Pitié, Anil Kokaram   +3 more
doaj   +1 more source

A modified video codec for MBMS applications [PDF]

Proceedings of the 4th international conference on Mobile and ubiquitous multimedia - MUM '05, 2005
Multimedia Broadcast Multicast Service (MBMS) is currently being standardized by the 3GPP. The MBMS services will enable new class of applications with efficient use of spectrum. MBMS also poses a new set of requirements on video coding and delivery. In this paper we present a short overview of MBMS and a video codec designed for MBMS.
Sanigepalli Praveenkumar, Hari Kalva, Borko Furht   +2 more
openaire   +1 more source

Large‐Scale Distribution of Physical Data Using DNA‐of‐Things Technology in Newspaper Printing

Small, Volume 22, Issue 29, 22 May 2026.
DNA‐of‐things technology enables stable data storage in large‐scale newspaper printing, with successful retrieval of 37 kB of digital data from a single ink dot containing approximately 14 femtograms of DNA. ABSTRACT DNA represents a promising solution for high‐density and long‐term data storage. In this study, we explore the scalability and robustness
Francesca Granito, Andreas L. Gimpel, Wendelin J. Stark, Reinhard Heckel, Robert N. Grass   +4 more
wiley   +1 more source

DREFNet: Deep Residual Enhanced Feature GAN for VVC Compressed Video Quality Improvement

Mathematics
In recent years, the use of video content has experienced exponential growth. The rapid growth of video content has led to an increased reliance on various video codecs for efficient compression and transmission.
Tanni Das, Kiho Choi
doaj   +1 more source

LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach

Journal of Forensic Sciences, Volume 71, Issue 3, Page 1211-1223, May 2026.
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

Fast Thumbnail Extraction for H.264/AVC, HEVC and VP9

Applied Sciences, 2021
In this paper, we propose a partial decoding method with limited memory usage for high-speed thumbnail extraction. The proposed method performs a partial inverse transform and a partial intra prediction in order to reconstruct pixels for intra prediction
Joohyung Byeon, Seungchul Jang, Jongseok Lee, Kyungyong Kim, Donggyu Sim   +4 more
doaj   +1 more source

Validity and Reliability of the Heart Rate Matching Task: A Novel Measure of Heart Rate Estimation

Psychophysiology, Volume 63, Issue 4, April 2026.
ABSTRACT Sensing and monitoring changes in our heart rate is a key aspect of interoception. We introduce and test the construct validity of the Heart Rate Matching task (HRM), a novel, fast and accessible task designed to assess the ability to estimate heart rate, in both remote (i.e., online) and in‐lab settings.
Jamie A. Moffatt, Markus R. Tünte, Mariana Von Mohr, Manos Tsakiris   +3 more
wiley   +1 more source

Deep learning‐driven methods for fluorescence imaging denoising

Interdisciplinary Medicine, Volume 4, Issue 2, March 2026.
This review evaluates data‐driven deep learning denoising methods that overcome conventional limitations through effective feature extraction and nonlinear modeling. Focusing on fluorescence imaging acquisition under photon‐limited conditions, we delineate cutting‐edge architectures, including supervised learning, unsupervised learning, zero‐shot ...
Xinyu Lu, Zixu Zhan, Bin Tan, Ruiwen Wang, Shuyue Wang, Diming Zhang, Bobo Cai, Zhijing Zhu   +7 more
wiley   +1 more source

Highly Secure In Vivo DNA Data Storage Driven by Genomic Dynamics

Advanced Science, Volume 13, Issue 12, 27 February 2026.
Integrated computational‐biological programming enables secure in vivo data storage by generating code tables from either genomes or gene regulatory networks, expanding the encryption key space by over 100 orders of magnitude. Storing code tables within synthetic genes, genomes, or gene regulatory networks adds an additional layer of security by ...
Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang   +9 more
wiley   +1 more source