Compressive Image Classification using Deterministic Sensing Matrices [PDF]
arXiv, 2022 We look at the use of deterministic sensing matrices for compressed sensing and provide worst-case bounds on the classification accuracy of SVMs on compressively sensed data.
arxiv
Wide spectrum denoising (WSD) for superresolution microscopy imaging using compressed sensing and a high-resolution camera [PDF]
, 2020 Wide spectrum denoising (WSD) for superresolution microscopy imaging using compressed sensing and a high-resolution ...
arxiv +1 more source
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection [PDF]
arXiv, 2021 This is a write-up of our method submitted to Mitosis Domain Generalization (MIDOG 2021) Challenge held in MICCAI2021 conference.
arxiv
Coding Standards as Anchors for the CVPR CLIC video track [PDF]
arXiv, 2021 In 2021, a new track has been initiated in the Challenge for Learned Image Compression~: the video track. This category proposes to explore technologies for the compression of short video clips at 1 Mbit/s. This paper proposes to generate coded videos using the latest standardized video coders, especially Versatile Video Coding (VVC).
arxiv
A subjective study of the perceptual acceptability of audio-video desynchronization in sports videos [PDF]
arXiv, 2022 This paper presents the results of a study conducted on the perceptual acceptability of audio-video desynchronization for sports videos. The study was conducted with 45 videos generated by applying 8 audio-video offsets on 5 source contents. 20 subjects participated in the study.
arxiv
Detection of brain tumors using machine learning algorithms [PDF]
arXiv, 2022 An algorithm capable of processing NMR images was developed for analysis using machine learning techniques to detect the presence of brain tumors.
arxiv
Introduction to Brain and Medical Images [PDF]
arXiv, 2021 This article is based on the first chapter of book Chung (2013), where brain and medical images are introduced. The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI). A brief introduction to each imaging modality is explained.
arxiv
Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis [PDF]
arXiv, 2021 Learning-based visual data compression and analysis have attracted great interest from both academia and industry recently. More training as well as testing datasets, especially good quality video datasets are highly desirable for related research and standardization activities.
arxiv
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression [PDF]
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, vol. 15, no.
2, FEBRUARY 2021, 2021 Recent works have shown that learned models can achieve significant performance gains, especially in terms of perceptual quality measures, over traditional methods. Hence, the state of the art in image restoration and compression is getting redefined. This special issue covers the state of the art in learned image/video restoration and compression to ...
arxiv
PRNU-Based Source Device Attribution for YouTube Videos [PDF]
Digital Investigation, March 2019, 2019 Photo Response Non-Uniformity (PRNU) is a camera imaging sensor imperfection which has earned a great interest for source device attribution of digital videos. A majority of recent researches about PRNU-based source device attribution for digital videos do not take into consideration the effects of video compression on the PRNU noise in video frames ...
arxiv +1 more source