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Marios S. Pattichis
University of New Mexico
280Publications
25H-index
2,939Citations
Publications 280
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Yuebing Jiang6
Estimated H-index: 6
(University of New Mexico),
Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico)
We propose a dynamically reconfigurable system for time-varying image constraints (DRASTIC) for applications in video communications. DRASTIC defines a framework for both joint and independent optimization of dynamic power, image quality, and bitrate subject to different constraint scenarios. We demonstrate DRASTIC for intra-mode video encoding for MJPEG. However, since the DCT is critical component of most video coding standards, our approach can be extended to modern standards such as AVC (H.2...
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Zinonas C. Antoniou5
Estimated H-index: 5
(University of Cyprus),
A. Panayides11
Estimated H-index: 11
(University of Cyprus),
Marios Pantzaris ... more
The wider adoption of mobile Health video communication systems in standard clinical practice requires real-time control to provide for adequate levels of clinical video quality to support reliable diagnosis. The latter can only be achieved with real-time adaptation to time-varying wireless networks’ state to guarantee clinically acceptable performance throughout the streaming session, while conforming to device capabilities for supporting real-time encoding. We propose an adaptive video encodin...
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Cesar Carranza5
Estimated H-index: 5
(Pontifical Catholic University of Peru),
Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico),
Daniel Llamocca8
Estimated H-index: 8
(University of Rochester)
The Discrete Periodic Radon Transform (DPRT) has many important applications in reconstructing images from their projections and has recently been used in fast and scalable architectures for computing 2D convolutions. Unfortunately, the direct computation of the DPRT involves $O(N^{3})$ additions and memory accesses that can be very costly in single-core architectures. The current paper presents new and efficient algorithms for computing the DPRT and its inverse on multi-core CPUs and GPUs. The ...
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Wenjing Shi (University of New Mexico), Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico),
Sylvia Celedón-Pattichis4
Estimated H-index: 4
(University of New Mexico)
... more
The paper introduces the problem of robust head detection in collaborative learning environments. In such environments, the camera remains fixed while the students are allowed to sit at different parts of a table. Example challenges include the fact that students may be facing away from the camera or exposing different parts of their face to the camera. To address these issues, the paper proposes the development of two new methods based on Amplitude Modulation-Frequency Modulation (AM-FM) models...
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Abigail Ruth Jacoby (University of New Mexico), Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico),
Sylvia Celedón-Pattichis4
Estimated H-index: 4
(University of New Mexico)
... more
Human activity classification remains challenging due to the strong need to eliminate structural noise, the multitude of possible activities, and the strong variations in video acquisition. The current paper explores the study of human activity classification in a collaborative learning environment.This paper explores the use of color based object detection in conjunction with contextualization of object interaction to isolate motion vectors specific to each human activity. The basic approach is...
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Efthyvoulos Kyriacou16
Estimated H-index: 16
(Frederick University),
Andrew N. Nicolaides74
Estimated H-index: 74
(Imperial College London),
Alexandra Constantinou ... more
Through this study we are presenting the initial steps towards a real time motion analysis system to predict the stability of carotid bifurcation plaques. The analysis is performed on B-mode video loops. Loops are analyzed in order to follow systole and diastole sections of the cardiac cycle and trace the motion of plaques during these periods. We had created a system that applies Farnebacks optical flow estimation method in order to estimate the flow between consecutive frames or frames at a pr...
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Jaclynn J. Stubbs1
Estimated H-index: 1
(Sandia National Laboratories),
Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico),
Gabriel C. Birch3
Estimated H-index: 3
(Sandia National Laboratories)
The paper investigates the use of compressively sensed images in interactive image classification. To speed-up the classification process and avoid costly reconstruction, we consider the use of a feed-forward neural network in a reduced complexity image domain. The interactive image and video classification systems have been used for real-time demonstrations that have been effectively utilized in outreach activities for attracting middle-school students to STEM.
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Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico),
Sylvia Celedón-Pattichis4
Estimated H-index: 4
(University of New Mexico),
Carlos LopezLeiva2
Estimated H-index: 2
(University of New Mexico)
In this paper, we summarize some of the lessons learned from the Advancing Out-of-School Learning in Mathematics and Engineering (AOLME) project. The AOLME project uses an integrated curriculum that relies on the use of basic concepts from middle-school mathematics to teach the foundations of image and video representations. The middle-school students, mostly from underrepresented groups, learn how to program their own video representations using Python libraries running on the Raspberry Pi. Ove...
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Gangadharan Esakki2
Estimated H-index: 2
(University of New Mexico),
Venkatesh Jatla1
Estimated H-index: 1
(University of New Mexico),
Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico)
We present a framework for adaptive video encoding based on video content. The basic idea is to analyze the video to determine camera activity (tracking, stationary, or zooming) and then associate each activity with adaptive video quality constraints. We demonstrate our approach on the UT LIVE video quality assessment database that effective camera activity detection and classification is possible based on the motion vectors and the number of prediction units (PU) extracted using x265 HEVC encod...
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Cesar Carranza5
Estimated H-index: 5
(Pontifical Catholic University of Peru),
Daniel Llamocca8
Estimated H-index: 8
(University of Rochester),
Marios S. Pattichis25
Estimated H-index: 25
(University of New Mexico)
The manuscript describes fast and scalable architectures and associated algorithms for computing convolutions and cross-correlations. The basic idea is to map 2D convolutions and cross-correlations to a collection of 1D convolutions and cross-correlations in the transform domain. This is accomplished through the use of the discrete periodic radon transform for general kernels and the use of singular value decomposition -LU decompositions for low-rank kernels. The approach uses scalable architect...
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