8,101 research outputs found
History Assisted View Authoring for 3D Models
3D modelers often wish to showcase their models for sharing or review purposes. This may consist of generating static viewpoints of the model or authoring animated flythroughs. Manually creating such views is often tedious and few automatic methods are designed to interactively assist the modelers with the view authoring process. We present a view authoring assistance system that supports the creation of informative view points, view paths, and view surfaces, allowing modelers to author the interactive navigation experience of a model. The key concept of our implementation is to analyze the model’s workflow history, to infer important regions of the model and representative viewpoints of those areas. An evaluation indicated that the viewpoints generated by our algorithm are comparable to those manually selected by the modeler. In addition, participants of a user study found our system easy to use and effective for authoring viewpoint summaries. Author Keywords 3D model; editing history; viewpoint authorin
Combining Local and Global Optimisation for Virtual Camera Control
Controlling a virtual camera in 3D computer games is a complex task. The camera is required to react to dynamically changing environments and produce high quality visual results and smooth animations. This paper proposes an approach that combines local and global search to solve the virtual camera control problem. The automatic camera control problem is described and it is decomposed into sub-problems; then a hierarchical architecture that solves each sub-problem using the most appropriate optimisation technique is proposed. The approach is compared to pure local search solutions to showcase the advantages of the proposed architecture in terms of visual performance and robustness.peer-reviewe
Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters
Segmentation of an object from a video is a challenging task in multimedia
applications. Depending on the application, automatic or interactive methods
are desired; however, regardless of the application type, efficient computation
of video object segmentation is crucial for time-critical applications;
specifically, mobile and interactive applications require near real-time
efficiencies. In this paper, we address the problem of video segmentation from
the perspective of efficiency. We initially redefine the problem of video
object segmentation as the propagation of MRF energies along the temporal
domain. For this purpose, a novel and efficient method is proposed to propagate
MRF energies throughout the frames via bilateral filters without using any
global texture, color or shape model. Recently presented bi-exponential filter
is utilized for efficiency, whereas a novel technique is also developed to
dynamically solve graph-cuts for varying, non-lattice graphs in general linear
filtering scenario. These improvements are experimented for both automatic and
interactive video segmentation scenarios. Moreover, in addition to the
efficiency, segmentation quality is also tested both quantitatively and
qualitatively. Indeed, for some challenging examples, significant time
efficiency is observed without loss of segmentation quality.Comment: Multimedia, IEEE Transactions on (Volume:16, Issue: 5, Aug. 2014
Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
Amateurs working on mini-films and short-form videos usually spend lots of
time and effort on the multi-round complicated process of setting and adjusting
scenes, plots, and cameras to deliver satisfying video shots. We present
Virtual Dynamic Storyboard (VDS) to allow users storyboarding shots in virtual
environments, where the filming staff can easily test the settings of shots
before the actual filming. VDS runs on a "propose-simulate-discriminate" mode:
Given a formatted story script and a camera script as input, it generates
several character animation and camera movement proposals following predefined
story and cinematic rules to allow an off-the-shelf simulation engine to render
videos. To pick up the top-quality dynamic storyboard from the candidates, we
equip it with a shot ranking discriminator based on shot quality criteria
learned from professional manual-created data. VDS is comprehensively validated
via extensive experiments and user studies, demonstrating its efficiency,
effectiveness, and great potential in assisting amateur video production.Comment: Project page: https://virtualfilmstudio.github.io
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