Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review
Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …
and digital images constitute a major part of multimedia data. In last few years, the …
A survey on anti-spoofing methods for facial recognition with rgb cameras of generic consumer devices
The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
Secure face unlock: Spoof detection on smartphones
With the wide deployment of the face recognition systems in applications from deduplication
to mobile device unlocking, security against the face spoofing attacks requires increased …
to mobile device unlocking, security against the face spoofing attacks requires increased …
Cross-age reference coding for age-invariant face recognition and retrieval
Recently, promising results have been shown on face recognition researches. However,
face recognition and retrieval across age is still challenging. Unlike prior methods using …
face recognition and retrieval across age is still challenging. Unlike prior methods using …
Neural multimodal cooperative learning toward micro-video understanding
The prevailing characteristics of micro-videos result in the less descriptive power of each
modality. The micro-video representations, several pioneer efforts proposed, are limited in …
modality. The micro-video representations, several pioneer efforts proposed, are limited in …
Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset
This paper introduces a method for face recognition across age and also a dataset
containing variations of age in the wild. We use a data-driven method to address the cross …
containing variations of age in the wild. We use a data-driven method to address the cross …
Face search at scale
Given the prevalence of social media websites, one challenge facing computer vision
researchers is to devise methods to search for persons of interest among the billions of …
researchers is to devise methods to search for persons of interest among the billions of …
Approximate low-rank projection learning for feature extraction
Feature extraction plays a significant role in pattern recognition. Recently, many
representation-based feature extraction methods have been proposed and achieved …
representation-based feature extraction methods have been proposed and achieved …
Content based image retrieval with sparse representations and local feature descriptors: A comparative study
C Celik, HS Bilge - Pattern Recognition, 2017 - Elsevier
Abstract Content Based Image Retrieval (CBIR) has been widely studied in the last two
decades. Unlike text based image retrieval techniques, visual properties of images are used …
decades. Unlike text based image retrieval techniques, visual properties of images are used …
Semisupervised tripled dictionary learning for standard-dose PET image prediction using low-dose PET and multimodal MRI
Objective: To obtain high-quality positron emission tomography (PET) image with low-dose
tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from …
tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from …