A5001082656- Advanced Data Compression Techniques
- Video Coding and Compression Technologies
- Advanced Vision and Imaging
- Image and Video Quality Assessment
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Wireless Communication Networks Research
- Advanced Image and Video Retrieval Techniques
- Advanced Wireless Communication Techniques
- Computer Graphics and Visualization Techniques
- Advanced Wireless Network Optimization
- Video Analysis and Summarization
- Music and Audio Processing
- 3D Shape Modeling and Analysis
- Speech and Audio Processing
- Image Retrieval and Classification Techniques
- Image Enhancement Techniques
- Cooperative Communication and Network Coding
- Advanced Steganography and Watermarking Techniques
- Advanced MIMO Systems Optimization
- Video Surveillance and Tracking Methods
- Network Traffic and Congestion Control
- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
University of Southern California
2016-2025
National University of Defense Technology
2025
Southern California University for Professional Studies
2014-2024
Viterbo University
2013-2023
Massachusetts Institute of Technology
1971-2022
Engineering (Italy)
2022
Gorgias Press (United States)
2022
China Electrotechnical Society
2022
Chinese Academy of Engineering
2022
Beijing Institute of Technology
2022
A multiresolution approach based on a modified wavelet transform called the tree-structured or packets is proposed. The development of this motivated by observation that large class natural textures can be modeled as quasi-periodic signals whose dominant frequencies are located in middle frequency channels. With transform, it possible to zoom into any desired channels for further decomposition. In contrast, conventional pyramid-structured performs decomposition low-frequency progressive...
This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics. With respect to TID2008, the new database contains larger number (3000) test images obtained from 25 reference images, 24 types distortions each image, and 5 levels type distortion. Motivations introducing 7 one additional level are given; examples distorted presented. Mean opinion scores (MOS) have been collected by performing 985 subjective...
The paper considers the task of recognizing environmental sounds for understanding a scene or context surrounding an audio sensor. A variety features have been proposed recognition, including popular Mel-frequency cepstral coefficients (MFCCs) which describe spectral shape. Environmental sounds, such as chirpings insects and rain are typically noise-like with broad flat spectrum, may include strong temporal domain signatures. However, only few temporal-domain developed to characterize...
Cooperative communications have been proposed to exploit the spatial diversity gains inherent in multiuser wireless systems without need of multiple antennas at each node. This is achieved by having users relay others messages and thus forming transmission paths destination. In resource constrained networks, such as sensor advantages cooperation can be further exploited optimally allocating energy bandwidth resources among based on available channel state information (CSI) first part this...
While current approaches for audiovisual data segmentation and classification are mostly focused on visual cues, audio signals may actually play a more important role in content parsing many applications. An approach to automatic of based analysis is proposed. The signal from movies or TV programs segmented classified into basic types such as speech, music, song, environmental sound, speech with music background, sound silence, etc. Simple features including the energy function, average...
A third species, Chlamydia pneumoniae, is proposed for the genus Chlamydia. This bacterium a human respiratory pathogen, which has been referred to as TWAR strain of Species identification based on ultrastructural differences in elementary bodies, deoxyribonucleic acid analysis, and serology.
The generalized Lloyd algorithm plays an important role in the design of vector quantizers (VQ) and feature clustering fdr pattern recognition.In VQ context, this provides a procedure to iteratively improve codebook results local minimum that minimizes average distortion function.In research, we propose efficient method obtain good initial can accelerate convergence achieve better as well.
Two approaches for integrating encryption with multimedia compression systems are studied in this research, i.e., selective and modified entropy coders multiple statistical models. First, we examine the limitations of using cryptanalysis, provide examples that use successfully. rules to determine whether is suitable a system concluded. Next, propose another approach turns into ciphers specific schemes obtained by applying Huffman coder QM coder. It shown security achieved without sacrificing...
Deep neural networks (DNNs) often suffer from "catastrophic forgetting" during incremental learning (IL) — an abrupt degradation of performance on the original set classes when training objective is adapted to a newly added classes. Existing IL approaches tend produce model that biased towards either old or new classes, unless with help exemplars data. To address this issue, we propose class-incremental paradigm called Model Consolidation (DMC), which works well even data not available. The...
This article provides an overview of the signal processing techniques used to enhance secrecy in physical layer multiantenna wireless communication systems. Motivated by results information theory, both data transmission and channel estimation phases have been explored literature enlarge quality difference at destination eavesdropper. In phase, beamforming precoding schemes are while limiting strength Artificial noise (AN) is also on top beamformed or precoded signals further reduce...
A compressed video quality assessment dataset based on the just noticeable difference (JND) model, called MCL-JCV, is recently constructed and released. In this work, we explain its design objectives, selected content subject test procedures. Then, conduct statistical analysis collected JND data. We compute between every two adjacent points propose an outlier detection algorithm to remove unreliable also show that each group can be well approximated by a normal distribution so adopt Gaussian...
Research on graph representation learning has received a lot of attention in recent years since many data real-world applications come form graphs.High-dimensional are often irregular form, which makes them more difficult to analyze than image/video/audio defined regular lattices.Various embedding techniques have been developed convert the raw into low-dimensional vector while preserving intrinsic properties.In this review, we first explain task and its challenges.Next, review wide range...
Chlamydia pneumoniae TWAR has been associated with coronary heart disease by seroepidemiologic studies and direct detection of the organism in atheromatous lesions arteries aorta. In this study, 38 fresh tissue specimens from patients artery that were treated directional atherectomy tested for C. pneumoniae. Twenty-three primary 15 restenoses. was detected polymerase chain reaction (PCR), immunocytochemical stain (ICC), or both 20 specimens. Using cell identity markers, localized to...