Sc1 2 2 Video Element

Please note, this is a draft

Description

This test checks captions in video elements with a track element. So, this one test the quality of the given captions. Note that instead of a pass or fail, we could also return a graded rating scheme. This can be the case if for example emotions are captured, and only one emotion is forgotten. We could return a 90% pass?

“BITV-Test, a German web-based accessibility evaluation tool which in its latest revision is a WCAG 2.0 test in all but name, takes a different approach. Its checkpoints that have graded rating scheme that offers five grades: from a clear “pass” (100%) via intermediate steps to a clear “fail” (0%). “ http://www.bitvtest.de/infothek/artikel/lesen/talking-head-captions.html

Background

• Understanding 1.2.2 Captions (prerecorded)
• QuailJS test for video captions

Assumptions

• Test device renders html5 video (phantomJS doesn’t render)

Test properties

Test procedure

Selector

Test mode: automatic

video element containing a track attribute

Step 1

Test mode: automatic

Track element contains kind attribute with value captions

If the step returns true, go to step 3 with the value of src

Step 2

Test mode: automatic

Track element contains kind attribute with value subtitles

Note: success criterion doesn’t take into account language changes. So it is valid to have spoken text in language 1, subtitles in language 2 and page content in language 3. We prefer captions as they include non-spoken text as well

Step 3

Test mode: automatic

src contains file

Step 4

Test mode: automatic

File content contains time codes and text

Step 5

Test mode: automatic

file contains valid time and text combinations

Step 6

Test mode: automatic

For each spoken audio fragment a timecode and text exists

Step 7

Test mode: automatic

For each spoken audio fragment the content of the spoken text has the same meaning as the caption text

Step 8

Test mode: automatic

Check to see is a speaker is presented in a fixed frame with unchanging background (‘talking head’ video).

For each frame check if the image is similar to the other frames.

NOTE: not sure if we should add this step, but if this step can be done fully automatic with frame scanning, we can skip additional manual steps.

Step 9

Test mode: manual

Check for each sound if it is important and has a timecode and descriptive text

Step 10

Test mode: manual

Check for each background fragment if it is important and has a captioned text

Step 11

Test mode: manual

Check for each speaker fragment if it has a captioned identification

Step 12

Test mode: manual

Check for each emotion if it is important and has a captioned text