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visualization process assisted by the Eulerian video magnification algorithm for a heart rate monitoring system: mobile applications

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MULTIMEDIA TOOLS AND APPLICATIONS 2020年第7-8期79卷 5149-5160页

作者： Alarifi, Abdulaziz Tolba, Amr Hassanein, Azza S. King Saud Univ Community Coll Comp Sci Dept Riyadh 11437 Saudi Arabia Menoufia Univ Fac Sci Math & Comp Sci Dept Shibin Al Kawm 32511 Egypt Helwan Univ Fac Engn Biomed Engn Dept Helwan 11795 Egypt

Medical technology employs a range of different computational methods for analyzing noninvasive heart rate monitoring processes. During the heart rate monitoring process, accurate heart rate detection is difficult which is overcome by applying the effective image processing techniques. Thus, the present study offers a mobile application framework that uses video frames captured from mobile camera. These video frames are analyzed by Eulerian video magnification (EVM) with a region extraction technique for efficiently detecting and monitoring heart rates. Initially, EVM captures the feelings of the subject from a face visualization process. Then, temporal filtering and spatial decomposition methods are applied to reconstruct the video frames. Subtle changes in the face image are extracted from the video frames by applying an enhanced multi-scale segmentation technique. The segmented region from the face helps to identify the intensity level of the green channel feature, which differs from the normal red and blue channel features. This process identifies the hidden heart rate from the region extracted by the EVM visualization process. Finally, system efficiency is evaluated in terms of the estimated heart rate, actual heart rate, and heart rate accuracy. The mobile based video magnification analyzing process reduces mortality rate, and accurately examines heart rates.

关键词： Heart rate monitoring Digital image processing visualization process Eulerian video magnification algorithm

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Design of Mathematical Online Training Interactive Framework based on AI-assisted Data Modeling Algorithm visualization process 5

Design of Mathematical Online Training Interactive Framework...

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5th International Conference on Inventive Computation Technologies (ICICT)

作者： Xue, Lihong Yunnan Jiaotong Coll Wanqing Rd Kunming 650500 Yunnan Peoples R China

ISBN: (数字)9781665408370

ISBN: (纸本)9781665408387;9781665408370

Based on the artificial intelligence algorithm, the data model of the optimal time series is researched and designed, and the data is classified by collecting and processing the time series data. A dynamic visual demonstration process is formed and applied to the design of the interactive framework for mathematical online training. The test results show that the 16 classic experimental algorithms of artificial intelligence courses included in the platform can be clearly and dynamically demonstrated, and the detailed description of the principles and steps of algorithm execution can help students deeply understand the execution process of the algorithm. The analysis of interactive behavior is intelligent, and can carry out targeted training according to the problems that arise in the learning process of students, thereby improving the learning efficiency of students.

关键词： Mathematical Online Training Interactive Framework AI-assisted Data Modeling visualization process

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Medical Communication Board visualization process Research

设计研究

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设计研究 2019年第14期 15-21页

作者：林芳穗石泓純

Aphasia patients cannot communicate with medical staff, nursing staff, and their families because they cannot communicate in words during the medical process, they cannot meet the needs of patients. At present, there are many types of symbolic graphics on medical communication boards, lacking proper evaluation criteria. This study intends to construct a complete set of sentence subsystem symbols to promote communication and communication, standard-size the visual process of the communication committee statement, and provide basic needs for doctors and families to understand patients with aphasia. Research findings: 1. Well-known image symbols also have deviations in the cognitive and framework processes. 2. In the process of constructing the image symbol system, it is easy to find the noun image symbol framework and the cognitive difficulty is small. Verbs are more difficult to express images. 3, The recognition rate of punctuation marks, letters and numbers are high. 4. Cognitive bias in designers and subject symbols directly affects the understanding of symbols. In the process of translating symbols into later languages, there is a large degree of deviation in understanding.

关键词： Medical communication version visualization of sentence visualization process AAC

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Enhancing the visualization process with principal component analysis to support the exploration of trends 06

Enhancing the visualization process with principal component...

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Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60

作者： Wolfgang Müller Thomas Nocke Heidrun Schumann Media Education and Visualization Group University of Education Weingarten Weingarten Germany Department of Computer Science University of Rostock Rostock Germany

ISBN: (纸本)9781920682415

This paper describes the integration of the Principal Component Analysis into the visualization process. Although, the combination of Principal Component Analysis (PCA) and visual methods is a common approach to the analysis of high-dimensional datasets, it is mostly limited to a pure preprocessing step for dimension reduction. In this paper we will discuss, how PCA results can be used to control all steps of the visualization pipeline to generate more effective visual representations, and thus, a higher degree of understanding of the PCA values as well as of original data.

关键词： visualization process principal component analysis information visualization

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A model for the visualization exploration process 02

A model for the visualization exploration process

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Proceedings of the conference on visualization '02

作者： T. J. Jankun-Kelly Kwan Liu Ma Michael Gertz University of California Davis

ISBN: (纸本)9780780374980

The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has investigated the visualization process itself. The information content of the visualization process---the results, history, and relationships between those results---is addressed by this work. A characterization of the visualization process is discussed, leading to a general model of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used for automated reporting, analysis, or visualized directly. An XML-based language for expressing visualization sessions using the model is also described. These sessions can then be shared and reused by collaborators. The model, along with the XML representation, provides an effective means to utilize the information within the visualization process to further data exploration.

关键词： visualization process scientific and information visualization visualization systems visualization models XML collaboration

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A spreadsheet approach to facilitate visualization of uncertainty in information

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2008年第1期14卷 61-72页

作者： Streit, Alexander Pham, Binh Brown, Ross Queensland Univ Technol Fac Informat Technol Brisbane Qld 4000 Australia

Information uncertainty is inherent in many problems and is often subtle and complicated to understand. Although visualization is a powerful means for exploring and understanding information, information uncertainty visualization is ad hoc and not widespread. This paper identifies two main barriers to the uptake of information uncertainty visualization: first, the difficulty of modeling and propagating the uncertainty information and, second, the difficulty of mapping uncertainty to visual elements. To overcome these barriers, we extend the spreadsheet paradigm to encapsulate uncertainty details within cells. This creates an inherent awareness of the uncertainty associated with each variable. The spreadsheet can hide the uncertainty details, enabling the user to think simply in terms of variables. Furthermore, the system can aid with automated propagation of uncertainty information, since it is intrinsically aware of the uncertainty. The system also enables mapping the encapsulated uncertainty to visual elements via the formula language and a visualization sheet. Support for such low-level visual mapping provides flexibility to explore new techniques for information uncertainty visualization.

关键词： uncertainty visualization information uncertainty fuzzy visualization visualization process visualization framework information modeling

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Feature extraction and iconic visualization

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 1996年第2期2卷 111-119页

作者： vanWalsum, T Post, FH Silver, D Post, FJ DELFT UNIV TECHNOL FAC TECH MATH & INFORMAT NL-2628 BL DELFT NETHERLANDS RUTGERS STATE UNIV DEPT ELECT & COMP ENGN PISCATAWAY NJ 08855 USA

We present a conceptual framework acid a process model for feature extraction and iconic visualization. The features are regions of interest extracted from a dataset: They are represented by attribute sets, which play a key role in the visualization process. These attribute sets are mapped to icons, or symbolic parametric objects, for visualization. The features provide a compact abstraction of the original data, and the icons are a natural way to visualize them. We present generic techniques to extract features and to calculate attribute sets, and describe a simple but powerful modeling language which was developed to create icons and to link the attributes to the icon parameters. We present illustrative examples of iconic visualization created with the techniques described, showing the effectiveness of this approach.

关键词： Feature Extraction Graphical User Interfaces Data Visualisation Visual Languages Feature Extraction Iconic visualization Conceptual Framework process Model Dataset Attribute Sets visualization process Symbolic Parametric Objects Compact Abstraction Generic Techniques Modeling Language Icon Parameters Feature Extraction Data visualization Data Mining Computer Society Silver Geometry Laboratories Image processing Radiology Mathematics

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Faster Visual Analytics through Pixel-Perfect Aggregation

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PROCEEDINGS OF THE VLDB ENDOWMENT 2014年第13期7卷 1705-1708页

作者： Jugel, Uwe Jerzak, Zbigniew Hackenbroich, Gregor Markl, Volker SAP SE Chemnitzer Str 48 D-01187 Dresden Germany Tech Univ Berlin D-10623 Berlin Germany

State-of-the-art visual data analysis tools ignore bandwidth limitations. They fetch millions of records of high-volume time series data from an underlying RDBMS to eventually draw only a few thousand pixels on the screen. In this work, we demonstrate a pixel-aware big data visualization system that dynamically adapts the number of data points transmitted and thus the data rate, while preserving pixel-perfect visualizations. We show how to carefully select the data points to fetch for each pixel of a visualization, using a visualization-driven data aggregation that models the visualization process. De fining all required data reduction operators at the query level, our system trades off a few milliseconds of query execution time for dozens of seconds of data transfer time. The results are significantly reduced response times and a near real-time visualization of millions of data points. Using our pixel-aware system, the audience will be able to enjoy the speed and ease of big data visualizations and learn about the scientific background of our system through an interactive evaluation component, allowing the visitor to measure, visualize, and compare competing visualizationrelated data reduction techniques.

关键词： Data reduction Big data Data transfer Data visualization Pixels Query processing Search engines visualization Bandwidth limitation Data aggregation Query execution time Reduction techniques State of the art Time series data Visual data analysis visualization process

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Identifying the Relationships Between the visualization Context and Representation Components to Enable Recommendations for Designing New visualizations 21

Identifying the Relationships Between the Visualization Cont...

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21st International Conference on Information Visualisation (IV)

作者： Cantu, Alma Grisvard, Olivier Duval, Thierry Coppin, Gilles Univ Bretagne Loire Lab STICC IMT Atlantique Technopole Brest Iroise F-29238 Brest France Thales Airborne Syst 10 Ave Lere DFL F-29238 Brest France

ISBN: (纸本)9781538608319

In this paper we address the question of the relationships between visualization challenges and the representation components that provide solutions to these challenges. Our approach involves extracting such relationships through an identification of the context and the components of a significant number of representations and a comparison of the result to existing theoretical studies. To make such an identification possible, we rely on a characterization of the representation context based on a thoughtful aggregation of existing characterizations of the data type, the tasks and the context of use of the representations. We illustrate our approach on a use-case with examples of a relationships extraction and of a comparison of that relationships to the theory. We believe that the establishment of such relationships makes it possible to understand the mechanisms behind the representations, in order to build a representation design recommendation tool. Such a tool will enable us to recommend the components to use in a representation, given a visualization challenge to address.

关键词： visualization process Characterization Survey Multidimensional Data Task Taxonomies

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Revisiting visualization Task Taxonomies: Specifying Functions for the Data Transformations Stage

Revisiting Visualization Task Taxonomies: Specifying Functio...

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Human-Computer Interaction Thematic Area Conference (HCI) Held as Part of the 22nd International Conference on Human-Computer Interaction (HCII)

作者： Bueno Rodrigues, Ariane Moraes Junqueira Barbosa, Gabriel Diniz Lima, Raul de Araujo Freire Braga, Dieinison Jack Vieira Lopes, Helio Cortes Junqueira Barbosa, Simone Diniz Pontificia Univ Catolica Rio de Janeiro Dept Informat Rio de Janeiro Brazil

ISBN: (纸本)9783030490584;9783030490591

Several visualization task taxonomies have been defined in the literature, taking into account several factors, such as the user's goals when analyzing a visual representation of data, the data characteristics, how they are mapped onto the visualization, to name a few. Some studies also use task taxonomies as a tool to evaluate the effectiveness of visual representations. Because each task taxonomy may have been created for a different purpose, we find that they often overlap, and the task definitions are often implicit or ambiguous. We have analyzed several visualization taxonomies, and realized they crosscut different stages of the visualization process. In this work, we focus on the data transformations stage and define a set of data functions related to the tasks in the studied taxonomies. We specify these functions to bring clarity and consistency, as well as to enable them to be used in different scenarios. This work is a first step toward a more comprehensive visualization ontology.

关键词： visualization data functions visualization tasks visualization process Information visualization

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