Hu, Haigen Shen, Leizhao Guan, Qiu Li, Xiaoxin Zhou, Qianwei Ruan, Su
Published in
Pattern Recognition
Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infected lesions of COVID-19 on CT images. In this paper, a novel segmentation scheme is proposed for the infections of COVID-19 by enhancing supervised information and fusing m...
Chetouani, Aladine Quach, Maurice Valenzise, Giuseppe Dufaux, Frédéric
Recent advances in capture technologies have increased the production of 3D content in the form of Point Clouds (PCs). The perceived quality of such data can be impacted by typical processing including acquisition, compression, transmission, visualization, etc. In this paper, we propose a learning-based method that efficiently predicts the quality ...
Chen, Qi Zhang, Guoping Yang, Xingben Li, Shuming Li, Yalan Wang, Harry Haoxiang
Published in
Multimedia Tools and Applications
In recent years, the analysis of natural image has made great progress while the image of the intrinsic component analysis can solve many computer vision problems, such as the image shadow detection and removal. This paper presents the novel model, which integrates the feature fusion and the multiple dictionary learning. Traditional model can hardl...
Nanayakkara Wasam Uluwitige, Dinesha Cha...
This thesis develops a system to search for relevant images when user inputs a particular image as a query. The concept is similar to text search in Google or Yahoo. However, understanding image content is more difficult than text content. The system provides a method to retrieve similar images pertaining to the query easily and quickly. It allows ...
Attallah, Bilal Serir, Amina Chahir, Youssef
International audience
Yazdani, Ashkan Skodras, Evangelos Fakotakis, Nikolaos Ebrahimi, Touradj
Published in
EURASIP Journal on Image and Video Processing
Nowadays, tags play an important role in the search and retrieval process in multimedia content sharing social networks. As the amount of multimedia contents explosively increases, it is a challenging problem to find a content that will be appealing to the users. Furthermore, the retrieval of multimedia contents, which can match users’ current mood...
May, Michael
This work, entitled Data Analytics and Methods for Improved Feature Selection and Matching, was submitted in June 2012 by Michael May to The University of Manchester for the degree of Doctor of Philosophy.This work focuses on analysing and improving feature detection and matching. After creating an initial framework of study, four main areas of wor...
Herzog, Michael H. Scharnowski, Frank Hermens, Frouke
Published in
Psychological Research
In spite of more than 100 years of research, the mechanisms underlying visual masking are still unknown. In recent publications, we introduced an unmasking paradigm involving the fusion of features that revealed interesting spatial characteristics. Here, we investigate the temporal aspects of this paradigm showing very long lasting effects that imp...
Lim, Joo-Hwee Jin, Jesse S.
Published in
EURASIP Journal on Advances in Signal Processing
Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc.) in content-based indexing systems. The drawback of this approach is the need of manual labeling of regions. While several automatic image annotation methods proposed recently are very promising, they usually rely o...
