AIMC Journal:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Showing 171 to 180 of 191 articles

Compositional Dictionaries for Domain Adaptive Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We present a dictionary learning approach to compensate for the transformation of faces due to the changes in view point, illumination, resolution, and so on. The key idea of our approach is to force domain-invariant sparse coding, i.e., designing a ...

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme e...

Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval. Conventional methods often study these two steps separately, e.g., learning hash functions from a predefined hand-cra...

Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Person re-identification aims to match people across non-overlapping camera views, which is an important but challenging task in video surveillance. In order to obtain a robust metric for matching, metric learning has been introduced recently. Most e...

Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Objective image quality assessment (IQA) plays an important role in the development of multimedia applications. Prediction of IQA metric should be consistent with human perception. The release of the newest IQA database (TID2013) challenges most of t...

Online kernel slow feature analysis for temporal video segmentation and tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted for computer vision tasks. In this paper, we propose an exact kernel SFA (KSFA) framework f...

Robust representation and recognition of facial emotions using extreme sparse learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...

A computational model of the short-cut rule for 2D shape decomposition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We propose a new 2D shape decomposition method based on the short-cut rule. The short-cut rule originates from cognition research, and states that the human visual system prefers to partition an object into parts using the shortest possible cuts. We ...

Contrastive Neuron Pruning for Backdoor Defense.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, in which attackers insert a pre-defined backdoor into a DNN model by poisoning a few training samples. A small subset of neurons in DNN is responsible ...

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Recently, deep convolution neural networks (CNNs) steered face super-resolution methods have achieved great progress in restoring degraded facial details by joint training with facial priors. However, these methods have some obvious limitations. On t...