Automatic Animation for Time‐Varying Data Visualization

Li, Yu; Lu, Aidong; Ribarsky, William; Chen, Wei

doi:10.1111/j.1467-8659.2010.01816.x

Cited by 31 publications

(15 citation statements)

References 22 publications

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“…Again we take into account the facts of naming groups of shots and the (±1) shot-shifting errors. Let us focus on shots 28 The second consultation session has offered a more informative evaluation about our event selection algorithms. It has shown that our top-level importance classification is consistent with the collective views of potential users, and the Gaussian moderation is highly useful in selecting events for each illustration.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization

Parry

Legg

Chung

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited.UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights. UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. Abstract-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 applicationspecific 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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Section: Discussionmentioning

confidence: 99%

“…Wang et al [25] use 3D environment models to contextualize spatially-related videos. Yu et al [28] propose to organize identified events into an event graph to aid the creation of animation of different event sequences.…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization

Parry

Legg

Chung

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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show abstract

“…Yu et al (2010) constructed an event graph to build a digital storytelling approach. This largely facilitated the generation of visualization animations, especially for users without enough priori knowledge.…”

Section: View Path Design For Time-varying Volume Datamentioning

confidence: 99%

Topology aware view path design for time-varying volume data

Bai

Yang

Zhou

et al. 2016

J Vis

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View path design is used to generate proper animations for time-varying volume datasets, and it is crucial to show the evolution of features in the animation. In this paper, we present a novel view path design method to display the evolution of features with their topology. Firstly, feature extraction and tracking methods are employed to capture the temporal feature evolution. Then, the viewpoint quality is estimated by combining the visual information based on the viewpoint mutual information with the topology information based on the skeletons of features. Temporal viewpoint coherence is further proposed to partition the time range, and the volume datasets in each time segment share a fixed viewpoint. At last, the viewpoints in adjacent time segments are linked with a smooth view path, by means of which the user is able to explore the complex feature evolution in the time-varying volume dataset. Experimental results demonstrate the utility of the proposed topology aware view path design method.

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“…Wu et al [37] proposed a palette-style volume visualization interface that can be used to generate animations using a palette wheel. Yu et al [38] presented a digital storytelling approach that generates automatic animations for time-varying data visualization using an event graph structure. Their focus was on alleviating the difficulty of creating visualization animations, especially for non-expert users.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Criteria Approach to Camera Motion Design for Volume Data Animation

Hsu

Zhang

2013

IEEE Trans. Visual. Comput. Graphics

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Abstract-We present an integrated camera motion design and path generation system for building volume data animations. Creating animations is an essential task in presenting complex scientific visualizations. Existing visualization systems use an established animation function based on keyframes selected by the user. This approach is limited in providing the optimal in-between views of the data. Alternatively, computer graphics and virtual reality camera motion planning is frequently focused on collision free movement in a virtual walkthrough. For semi-transparent, fuzzy, or blobby volume data the collision free objective becomes insufficient. Here, we provide a set of essential criteria focused on computing camera paths to establish effective animations of volume data. Our dynamic multi-criteria solver coupled with a force-directed routing algorithm enables rapid generation of camera paths. Once users review the resulting animation and evaluate the camera motion, they are able to determine how each criterion impacts path generation. In this paper, we demonstrate how incorporating this animation approach with an interactive volume visualization system reduces the effort in creating context-aware and coherent animations. This frees the user to focus on visualization tasks with the objective of gaining additional insight from the volume data.

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Automatic Animation for Time‐Varying Data Visualization

Cited by 31 publications

References 22 publications

Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization

Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization

Topology aware view path design for time-varying volume data

A Multi-Criteria Approach to Camera Motion Design for Volume Data Animation

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