Human centered approach evaluating mobile sign language video communication
This presentation is the property of its rightful owner.
Sponsored Links
1 / 20

Human-Centered Approach Evaluating Mobile Sign Language Video Communication PowerPoint PPT Presentation


  • 63 Views
  • Uploaded on
  • Presentation posted in: General

#GHC13. Human-Centered Approach Evaluating Mobile Sign Language Video Communication. @ JessicaJTran Ph.D. Candidate Electrical Engineering University of Washington, Seattle October 3, 2013. 2013. Advisors:

Download Presentation

Human-Centered Approach Evaluating Mobile Sign Language Video Communication

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Human centered approach evaluating mobile sign language video communication

#GHC13

Human-Centered Approach Evaluating Mobile Sign Language Video Communication

@JessicaJTran

Ph.D. Candidate Electrical Engineering

University of Washington, Seattle

October 3, 2013

2013

Advisors:

Eve A. Riskin (EE) | Richard E. Ladner (CSE) | Jacob O. Wobbrock (iSchool)


Mobile video communication

Mobile Video Communication

  • Popular method of communication, especially among deaf and hard-of-hearing people


Cellular network limitations

Cellular Network Limitations

  • Total network bandwidth is limited

    • Leading to packet loss, delayed, and blurred video


Equal access to mobile video communication

Equal Access to Mobile Video Communication

  • People should not pay more for mobile video services because they are deaf


Research objectives

Research Objectives

  • Make mobile sign language video more accessible and affordable

  • Reduce total network bandwidth consumption by lowering the frame rate and bitrate video is transmitted

  • Maintain intelligibility


Evaluating video intelligibility

Evaluating Video Intelligibility

  • Objective Measures

    • Peak Signal-to-Noise Ratio (PSNR)

    • Measures quality of image reconstruction after lossycompression

  • Subjective Measures

  • Lack of a universal model to evaluate video intelligibility


Research goals

Research Goals

  • Create a model to evaluate video intelligibility


Human signal intelligibility model

Human Signal Intelligibility Model


Research goals1

Research Goals

  • Create a model to evaluate video intelligibility

  • Use this model to evaluate video quality intelligibility tradeoffs


Research question

Research Question

  • How much can sign language video transmission rates be reduced before intelligibility is sacrificed?


Web study

Web study

  • Investigating the extremely lower limits at which ASL video is transmitted

  • Frame rates:1, 5, 10, 15 fps

  • Bitrates: 15, 30, 60, 120 kbps


Study design

Study Design


Study design continued

Study Design (continued)

Video 1 of 16

Q1) How easy was the video to understand?

Very Easy

Easy

Somewhat easy

Neutral

Somewhat difficult

Difficult

Very Difficult


Study design continued1

Study Design (continued)


Selected results

Selected Results

strongly agree

10 fps

120 kbps

15 fps

60 kbps

5 fps

neutral

30 kbps

mean Likert score

15 kbps

1 fps

strongly disagree

frame rate (fps)

bitrate (kbps)


Limitations

Limitations

  • Pre-recorded videos used

    • Slow signing speed

  • Frame rate and bitrate settings assigned to specific videos


Future work

Future Work

  • Laboratory Study

    • Goal: Objectively measure comprehension and tolerance of video quality


Other applications

Other Applications

  • Network Service Providers

  • Other streaming video media (YouTube, Hulu, etc.)

  • Access to mobile video communication across developing networks


Thank you

Thank You!

@JessicaJTran

Email: [email protected]

Website: bit.ly/jjtran


Have feedback

Have Feedback?

Rate and Review the session using the GHC Mobile App

To download visit www.gracehopper.org


  • Login