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Claim this profileWorks294 from public data
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- Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning656
This paper presents the techniques employed in the team's submissions to the 2015 Emotion Recognition in the Wild contest, for the sub-challenge of Static Facial Expression Recognition In the Wild.
- Digital Video Quality: Vision Models and Metrics578
The author explains the motivation behind the work and some of the techniques used in the writing of this book, which aim to improve the quality of measurement in the field of color space perception.
- Perceptual blur and ringing metrics: application to JPEG2000575
A full- and no-reference blur metric as well as a full-reference ringing metric are presented, based on an analysis of the edges and adjacent regions in an image and have very low computational complexity.
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- Perceptual distortion metric for digital color video315
A distortion metric for color video sequences is presented, based on a contrast gain control model of the human visual system that incorporates spatial and temporal aspects of vision as well as color perception.
- Synovial cyst of spinal facet292
The authors report a case in which a true synovial cyst was found attached to a cervical facet joint, and the anatomically oriented term “juxta-facet cyst” is proposed to include both ganglion and synovIAL cysts seen in this area.
- Issues in vision modeling for perceptual video quality assessment260
This paper discusses issues in vision modeling for perceptual video quality assessment (PVQA), to explain how important characteristics of the human visual system may be incorporated in vision models for PVQA, to give a brief overview of the state-of-the-art and current efforts in this field, and to outline directions for future research.
- A vision-based masking model for spread-spectrum image watermarking201
The results show that this approach facilitates the insertion of a more robust watermark while preserving the visual quality of the original, and it is demonstrated that the maximum watermark density generally does not provide the best detection performance.
- Video Quality Experts Group: current results and future directions201
The first task undertaken by VQEG was to provide a validation of objective video quality measurement methods leading to recommendations in both the telecommunications and radiocommunication sectors of the International Telecommunications Union.
- Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras168
This paper presents a supervised segmentation framework for ground-based sky/cloud images based on a systematic analysis of different color spaces and components, using partial least-squares regression, and releases the Singapore whole Sky imaging segmentation database.
- Vision models and quality metrics for image processing applications148
These Ecole polytechnique federale de Lausanne EPFL students studied at this year's EPFL summer session studied the history of electricity and its applications in the 21st Century.
- Vision-model-based impairment metric to evaluate blocking artifacts in digital video136
Investigations are conducted to simplify and refine a vision-model-based video quality metric without compromising its prediction accuracy and the results show a strong correlation between the objective blocking ratings and the mean opinion scores on blocking artifacts.
- CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation127
This letter proposes a lightweight deep-learning architecture called CloudSegNet, which is the first that integrates daytime and nighttime image segmentation in a single framework and achieves state-of-the-art results on public databases.
- Color image quality on the Internet122
This paper discusses color image quality metrics and presents no-reference artifact metrics for blockiness, blurriness, and colorfulness, showing that these metrics are highly correlated with experimental data collected through subjective experiments.
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- Video quality evaluation for Internet streaming applications87
In an attempt to review subjective testing procedures for video streaming applications, both Single Stimulus Continuous Quality Evaluation and Double Stimulus Impairment Scale methods are used on the same test material and an analysis of the experimental results is presented.
- Visual fidelity and perceived quality: toward comprehensive metrics83
Sharpness and colorfulness are identified among these attributes and are quantified by means of an isotropic local contrast measure and the distribution of chroma, respectively and the benefits of using these attributes are demonstrated with the help of data from subjective experiments.
- JPEG vs. JPEG 2000: an objective comparison of image encoding quality82
It is shown that the MOS predictions by the proposed tool are a better indicator of perceived image quality than PSNR, especially for highly compressed images.
- Video quality evaluation for mobile streaming applications81
The subjective ratings are used to validate the prediction performance of a real-time non-reference quality metric and compare codec performance as well as the effects of transmission errors on visual quality.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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