Search Results for author:
Found 10 papers, 1 papers with code
A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval
In this paper, we leverage the properties of non-Euclidean Geometry to define the Geodesic distance (GD) on the space of statistical manifolds.
A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis
To do this, we compute naturalness-based features using a Natural Scene Statistics (NSS) model in the complex wavelet domain.
Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues
Motivated by these limitations, we introduce in this work a multilayer network model to capture the narration of a movie based on its script, its subtitles, and the movie content.
Fusion of Convolutional Neural Network and Statistical Features for Texture classification
Texture image classification is one of the challenging problems that have various applications such as remote sensing, material recognition, and computer-aided medical diagnosis, etc.
A General Framework for Complex Network-Based Image Segmentation
In order to segment the image into meaningful connected components, this paper proposes an image segmentation general framework using complex networks based community detection algorithms.
Multilayer Network Model of Movie Script
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news.
Image quality assessment measure based on natural image statistics in the Tetrolet domain
This paper deals with a reduced reference (RR) image quality measure based on natural image statistics modeling.
Color image quality assessment measure using multivariate generalized Gaussian distribution
This paper deals with color image quality assessment in the reduced-reference framework based on natural scenes statistics.
A statistical reduced-reference method for color image quality assessment
Although color is a fundamental feature of human visual perception, it has been largely unexplored in the reduced-reference (RR) image quality assessment (IQA) schemes.
On color image quality assessment using natural image statistics
Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for grayscale images.
