A Theory of Productivity in the Creative Process

Brady, J.

doi:10.1109/mcg.1986.276789

Cited by 33 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interaction requires low end-to-end latency, typically well under 1 second [8,9,27]. Sprout achieves low latency by exploiting the coarsegrained parallelism inherent in such applications, executing parallel tasks on clusters of commodity multi-core servers.…”

Section: A System For Low-latency Multimedia Processingmentioning

confidence: 99%

Exploiting multi-level parallelism for low-latency activity recognition in streaming video

Chen

Mummert

Pillai

et al. 2010

Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems

View full text Add to dashboard Cite

Video understanding is a computationally challenging task that is critical not only for traditionally throughput-oriented applications such as search but also latency-sensitive interactive applications such as surveillance, gaming, videoconferencing, and vision-based user interfaces. Enabling these types of video processing applications will require not only new algorithms and techniques, but new runtime systems that optimize latency as well as throughput. In this paper, we present a runtime system called Sprout that achieves low latency by exploiting the parallelism inherent in video understanding applications. We demonstrate the utility of our system on an activity recognition application that employs a robust new descriptor called MoSIFT, which explicitly augments appearance features with motion information. MoSIFT outperforms previous recognition techniques, but like other state-of-the-art techniques, it is computationally expensive -a sequential implementation runs 100 times slower than real time. We describe the implementation of the activity recognition application on Sprout, and show that it can accurately recognize activities at full frame rate (25 fps) and low latency on a challenging airport surveillance video corpus.

show abstract

Section: A System For Low-latency Multimedia Processingmentioning

confidence: 99%

Exploiting multi-level parallelism for low-latency activity recognition in streaming video

Chen

Mummert

Pillai

et al. 2010

Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems

View full text Add to dashboard Cite

show abstract

“…Designer satisfaction with rapid prototyping process has been explored by Neeley, et al, who found that designers tended to be more satisfied with design outcomes when given the opportunity to explore more design space initially [23]. Specific questions of how real-time interfaces affect design outcomes were present in the first direct-manipulation CAD software [24], in early studies of the effect of analysis speed on structural exploration and outcomes [25], and more recent research on humancomputer optimization in circuit-routing [26] and architectural design [27]. I hoped to extend such studies by directly measuring the effects of real-time software decisions and algorithms on design outcomes and process.…”

Section: Design Optimization and The Designermentioning

confidence: 99%

Integrating Design and Optimization Tools: A Designer Centered Study

Burnell

Stern

Flooks

et al. 2017

Volume 7: 29th International Conference on Design Theory and Methodology

View full text Add to dashboard Cite

Exploring design options for additively manufactured parts generally requires separate, sequentially applied software for design, analysis, and optimization. To evaluate the effect of integrating these capabilities within a single tool we conducted a controlled human subjects study. Three tools with different degrees of integration were created for two test cases of structural trusses, and it was found that increased integration improved quality, speed, and efficiency of the design process. After a quarter of their total time with the problems, 50% of designers with a fully integrated tool had a better design than 75% of other designers ever would. After that point, the top 50% of designers went on to explore a design space unreached with other tools. It appears that integration, and in particular the integration of optimization, leads to better performance by making it possible to explore complex designs and achieve outcomes which would be inaccessible to conventional tools.

show abstract

“…Interaction requires low end-to-end latency, typically well under 1 second [4,5,17]. Sprout achieves low latency by exploiting the coarsegrained parallelism inherent in such applications, executing parallel tasks on clusters of commodity multi-core servers.…”

Section: A Parallel Implementation Of Gesture-based Tv Controlmentioning

confidence: 99%

Controlling your TV with gestures

Chen

Mummert

Pillai

et al. 2010

Proceedings of the International Conference on Multimedia Information Retrieval

View full text Add to dashboard Cite

Vision-based user interfaces enable natural interaction modalities such as gestures. Such interfaces require computationally intensive video processing at low latency. We demonstrate an application that recognizes gestures to control TV operations. Accurate recognition is achieved by using a new descriptor called MoSIFT, which explicitly encodes optical flow with appearance features. MoSIFT is computationally expensive -a sequential implementation runs 100 times slower than real time. To reduce latency sufficiently for interaction, the application is implemented on a runtime system that exploits the parallelism inherent in video understanding applications.

show abstract

A Theory of Productivity in the Creative Process

Cited by 33 publications

References 2 publications

Exploiting multi-level parallelism for low-latency activity recognition in streaming video

Exploiting multi-level parallelism for low-latency activity recognition in streaming video

Integrating Design and Optimization Tools: A Designer Centered Study

Controlling your TV with gestures

Contact Info

Product

Resources

About