The Experts below are selected from a list of 17151 Experts worldwide ranked by ideXlab platform
Min Chen - One of the best experts on this subject based on the ideXlab platform.
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glyph based Video Visualization for semen analysis
IEEE Transactions on Visualization and Computer Graphics, 2015Co-Authors: Brian R Duffy, Jeyarajan Thiyagalingam, Simon Walton, David J Smith, Anne Trefethen, Jackson Kirkmanbrown, Eamonn A Gaffney, Min ChenAbstract:The existing efforts in computer assisted semen analysis have been focused on high speed imaging and automated image analysis of sperm motility. This results in a large amount of data, and it is extremely challenging for both clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from Video data. In this work, we use glyphs to encode a collection of numerical measurements taken at a regular interval and to summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding some 20 variables using separable visual channels, (b) supporting scientific observation of the interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating the learning of the encoding scheme by making use of appropriate visual abstractions and metaphors. As a case study, we focus this work on Video Visualization for computer-aided semen analysis, which has a broad impact on both biological sciences and medical healthcare. We demonstrate that glyph-based Visualization can serve as a means of external memorization of Video data as well as an overview of a large set of spatiotemporal measurements. It enables domain scientists to make scientific observation in a cost-effective manner by reducing the burden of viewing Videos repeatedly, while providing them with a new visual representation for conveying semen statistics.
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state of the art report on Video based graphics and Video Visualization
Computer Graphics Forum, 2012Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Leitte, Xianghua XieAbstract:In recent years, a collection of new techniques which deal with Video as input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a review of techniques for making photo-realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abstract visual representations to reveal important features and events in Videos. We provide a new taxonomy to categorize the concepts and techniques in this newly emerged body of knowledge. To support this review, we also give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have been featured in Video-based modelling and rendering pipelines for graphics and Visualization. © 2012 Wiley Periodicals, Inc.
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hierarchical event selection for Video storyboards with a case study on snooker Video Visualization
IEEE Transactions on Visualization and Computer Graphics, 2011Co-Authors: Matthew L Parry, Philip A Legg, David H S Chung, Iwan W Griffiths, Min ChenAbstract:Video storyboard, which is a form of Video Visualization, summarizes the major events in a Video using illustrative Visualization. There are three main technical challenges in creating a Video storyboard, (a) event classification, (b) event selection and (c) event illustration. Among these challenges, (a) is highly application-dependent and requires a significant amount of application specific semantics to be encoded in a system or manually specified by users. This paper focuses on challenges (b) and (c). In particular, we present a framework for hierarchical event representation, and an importance-based selection algorithm for supporting the creation of a Video storyboard from a Video. We consider the storyboard to be an event summarization for the whole Video, whilst each individual illustration on the board is also an event summarization but for a smaller time window. We utilized a 3D Visualization template for depicting and annotating events in illustrations. To demonstrate the concepts and algorithms developed, we use Snooker Video Visualization as a case study, because it has a concrete and agreeable set of semantic definitions for events and can make use of existing techniques of event detection and 3D reconstruction in a reliable manner. Nevertheless, most of our concepts and algorithms developed for challenges (b) and (c) can be applied to other application areas.
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a survey on Video based graphics and Video Visualization
Eurographics, 2011Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Janicke, Xianghua XieAbstract:In recent years, a collection of new techniques, which deal with Videos a s the input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a comprehensive review of techniques for making photo- realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abs tract visual representations to reveal important features and events in Videos. We propose a new taxonomy to ca tegorize the concepts and techniques in this newly-emerged body of knowledge. To support this review, we als o give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g ., feature extraction, detection, tracking and so on) have been featured in Video-based modeling and rendering p ipelines for graphics and Visualization.
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Video Visualization for snooker skill training
IEEE VGTC Conference on Visualization, 2010Co-Authors: Markus Höferlin, Daniel Weiskopf, Min Chen, Iwan W Griffiths, Edward Grundy, Rita Borgo, W GriffithsAbstract:We present a feasibility study on using Video Visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature Video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static Visualization, removing the burden of repeated Video viewing. We extended the VPG design to accommodate the need for depicting multiple Video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and nonspatial attributes. Our results and evaluation have shown that Video Visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost-effective means for assessing skill levels and monitoring progress objectively and consistently.
Daniel Weiskopf - One of the best experts on this subject based on the ideXlab platform.
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state of the art report on Video based graphics and Video Visualization
Computer Graphics Forum, 2012Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Leitte, Xianghua XieAbstract:In recent years, a collection of new techniques which deal with Video as input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a review of techniques for making photo-realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abstract visual representations to reveal important features and events in Videos. We provide a new taxonomy to categorize the concepts and techniques in this newly emerged body of knowledge. To support this review, we also give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have been featured in Video-based modelling and rendering pipelines for graphics and Visualization. © 2012 Wiley Periodicals, Inc.
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Evaluation of Fast-Forward Video Visualization
IEEE Transactions on Visualization and Computer Graphics, 2012Co-Authors: Markus Höferlin, Kuno Kurzhals, Benjamin Höferlin, Gunther Heidemann, Daniel WeiskopfAbstract:We evaluate and compare Video Visualization techniques based on fast-forward. A controlled laboratory user study (n = 24) was conducted to determine the trade-off between support of object identification and motion perception, two properties that have to be considered when choosing a particular fast-forward Visualization. We compare four different Visualizations: two representing the state-of-the-art and two new variants of Visualization introduced in this paper. The two state-of-the-art methods we consider are frame-skipping and temporal blending of successive frames. Our object trail Visualization leverages a combination of frame-skipping and temporal blending, whereas predictive trajectory Visualization supports motion perception by augmenting the Video frames with an arrow that indicates the future object trajectory. Our hypothesis was that each of the state-of-the-art methods satisfies just one of the goals: support of object identification or motion perception. Thus, they represent both ends of the Visualization design. The key findings of the evaluation are that object trail Visualization supports object identification, whereas predictive trajectory Visualization is most useful for motion perception. However, frame-skipping surprisingly exhibits reasonable performance for both tasks. Furthermore, we evaluate the subjective performance of three different playback speed Visualizations for adaptive fast-forward, a subdomain of Video fast-forward.
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a survey on Video based graphics and Video Visualization
Eurographics, 2011Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Janicke, Xianghua XieAbstract:In recent years, a collection of new techniques, which deal with Videos a s the input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a comprehensive review of techniques for making photo- realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abs tract visual representations to reveal important features and events in Videos. We propose a new taxonomy to ca tegorize the concepts and techniques in this newly-emerged body of knowledge. To support this review, we als o give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g ., feature extraction, detection, tracking and so on) have been featured in Video-based modeling and rendering p ipelines for graphics and Visualization.
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Video Visualization for snooker skill training
IEEE VGTC Conference on Visualization, 2010Co-Authors: Markus Höferlin, Daniel Weiskopf, Min Chen, Iwan W Griffiths, Edward Grundy, Rita Borgo, W GriffithsAbstract:We present a feasibility study on using Video Visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature Video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static Visualization, removing the burden of repeated Video viewing. We extended the VPG design to accommodate the need for depicting multiple Video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and nonspatial attributes. Our results and evaluation have shown that Video Visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost-effective means for assessing skill levels and monitoring progress objectively and consistently.
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visual signatures in Video Visualization
IEEE Transactions on Visualization and Computer Graphics, 2006Co-Authors: Min Chen, Daniel Weiskopf, Rathiah Hashim, Ralf P Botchen, Thomas Ertl, Ian M ThorntonAbstract:Video Visualization is a computation process that extracts meaningful information from original Video data sets and conveys the extracted information to users in appropriate visual representations. This paper presents a broad treatment of the subject, following a typical research pipeline involving concept formulation, system development, a path-finding user study, and a field trial with real application data. In particular, we have conducted a fundamental study on the Visualization of motion events in Videos. We have, for the first time, deployed flow Visualization techniques in Video Visualization. We have compared the effectiveness of different abstract visual representations of Videos. We have conducted a user study to examine whether users are able to learn to recognize visual signatures of motions, and to assist in the evaluation of different Visualization techniques. We have applied our understanding and the developed techniques to a set of application Video clips. Our study has demonstrated that Video Visualization is both technically feasible and cost-effective. It has provided the first set of evidence confirming that ordinary users can be accustomed to the visual features depicted in Video Visualizations, and can learn to recognize visual signatures of a variety of motion events
Markus Höferlin - One of the best experts on this subject based on the ideXlab platform.
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state of the art report on Video based graphics and Video Visualization
Computer Graphics Forum, 2012Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Leitte, Xianghua XieAbstract:In recent years, a collection of new techniques which deal with Video as input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a review of techniques for making photo-realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abstract visual representations to reveal important features and events in Videos. We provide a new taxonomy to categorize the concepts and techniques in this newly emerged body of knowledge. To support this review, we also give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have been featured in Video-based modelling and rendering pipelines for graphics and Visualization. © 2012 Wiley Periodicals, Inc.
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Evaluation of Fast-Forward Video Visualization
IEEE Transactions on Visualization and Computer Graphics, 2012Co-Authors: Markus Höferlin, Kuno Kurzhals, Benjamin Höferlin, Gunther Heidemann, Daniel WeiskopfAbstract:We evaluate and compare Video Visualization techniques based on fast-forward. A controlled laboratory user study (n = 24) was conducted to determine the trade-off between support of object identification and motion perception, two properties that have to be considered when choosing a particular fast-forward Visualization. We compare four different Visualizations: two representing the state-of-the-art and two new variants of Visualization introduced in this paper. The two state-of-the-art methods we consider are frame-skipping and temporal blending of successive frames. Our object trail Visualization leverages a combination of frame-skipping and temporal blending, whereas predictive trajectory Visualization supports motion perception by augmenting the Video frames with an arrow that indicates the future object trajectory. Our hypothesis was that each of the state-of-the-art methods satisfies just one of the goals: support of object identification or motion perception. Thus, they represent both ends of the Visualization design. The key findings of the evaluation are that object trail Visualization supports object identification, whereas predictive trajectory Visualization is most useful for motion perception. However, frame-skipping surprisingly exhibits reasonable performance for both tasks. Furthermore, we evaluate the subjective performance of three different playback speed Visualizations for adaptive fast-forward, a subdomain of Video fast-forward.
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a survey on Video based graphics and Video Visualization
Eurographics, 2011Co-Authors: Rita Borgo, Daniel Weiskopf, Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Min Chen, Edward Grundy, Ben Daubney, Heike Janicke, Xianghua XieAbstract:In recent years, a collection of new techniques, which deal with Videos a s the input data, emerged in computer graphics and Visualization. In this survey, we report the state of the art in Video-based graphics and Video Visualization. We provide a comprehensive review of techniques for making photo- realistic or artistic computer-generated imagery from Videos, as well as methods for creating summary and/or abs tract visual representations to reveal important features and events in Videos. We propose a new taxonomy to ca tegorize the concepts and techniques in this newly-emerged body of knowledge. To support this review, we als o give a concise overview of the major advances in automated Video analysis, as some techniques in this field (e.g ., feature extraction, detection, tracking and so on) have been featured in Video-based modeling and rendering p ipelines for graphics and Visualization.
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Video Visualization for snooker skill training
IEEE VGTC Conference on Visualization, 2010Co-Authors: Markus Höferlin, Daniel Weiskopf, Min Chen, Iwan W Griffiths, Edward Grundy, Rita Borgo, W GriffithsAbstract:We present a feasibility study on using Video Visualization to aid snooker skill training. By involving the coaches and players in the loop of intelligent reasoning, our approach addresses the difficulties of automated semantic reasoning, while benefiting from mature Video processing techniques. This work was conducted in conjunction with a snooker club and a sports scientist. In particular, we utilized the principal design of the VideoPerpetuoGram (VPG) to convey spatiotemporal information to the viewers through static Visualization, removing the burden of repeated Video viewing. We extended the VPG design to accommodate the need for depicting multiple Video streams and respective temporal attribute fields, including silhouette extrusion, spatial attributes, and nonspatial attributes. Our results and evaluation have shown that Video Visualization can provide snooker coaching with visually quantifiable and comparable summary records, and is thus a cost-effective means for assessing skill levels and monitoring progress objectively and consistently.
Steven M Seitz - One of the best experts on this subject based on the ideXlab platform.
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schematic storyboarding for Video Visualization and editing
International Conference on Computer Graphics and Interactive Techniques, 2006Co-Authors: Dan B Goldman, Brian Curless, David Salesin, Steven M SeitzAbstract:We present a method for visualizing short Video clips in a single static image, using the visual language of storyboards. These schematic storyboards are composed from multiple input frames and annotated using outlines, arrows, and text describing the motion in the scene. The principal advantage of this storyboard representation over standard representations of Video -- generally either a static thumbnail image or a playback of the Video clip in its entirety -- is that it requires only a moment to observe and comprehend but at the same time retains much of the detail of the source Video. Our system renders a schematic storyboard layout based on a small amount of user interaction. We also demonstrate an interaction technique to scrub through time using the natural spatial dimensions of the storyboard. Potential applications include Video editing, surveillance summarization, assembly instructions, composition of graphic novels, and illustration of camera technique for film studies.
Kenji Mase - One of the best experts on this subject based on the ideXlab platform.
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techniques for interactive Video cubism poster session
ACM Multimedia, 2000Co-Authors: Sidney Fels, Eric Lee, Kenji MaseAbstract:This paper presents an interactive Video Visualization technique called Video cubism. With this technique, Video data is considered to be a block of three dimensional data where frames of Video data comprise the third dimension. The user can observe and manipulate a cut plane or cut sphere through the Video data. An external real-time Video source may also be attached to the Video cube. The Visualization leads to images that are aesthetically interesting as well as being useful for image analysis.
