The document discusses the development of a lightweight video annotation editor and player by a team from Seattle University, aimed at facilitating time-synced note-taking from online lectures and meetings. It addresses challenges such as space, intellectual property concerns, and loss of context, proposing a solution where users can create frame-specific notes saved as JSON objects for easy reference and replay. The service also utilizes Azure cognitive services for enhancing video accessibility through auto-generated descriptions and tags.

1. CineMarkup
Video Annotation editor and player
Team: Pacific Machines ( Altanai , Carrie, Cheng, and Peter - students of Seattle University )

2. Problem
Making time synced notes from an online lecture or video meeting is a challenge as it requires screen recording
or heavy system installation for custom software.
Reprocessing a video to preserve a sequence of notes is problematic because:
- it takes up space
- it infringes intellectual property rights
- and the textual DOM context is lost in the video file
[1]
Group 10
Team: Pacific Machines ( Altanai , Carrie, Cheng, and Peter )

3. Requirements
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Group 10
Team: Pacific Machines ( Altanai , Carrie, Cheng, and Peter )
Self annotating a video for frame specific notes and
replaying the notes in time sequenced and position
correlated fashion.
Personalized time and position synced video
annotation
Save multiple custom notes for each
individual viewer
Each user can save notes separately and return to
them for reference later.
Lightweight and browser based interface
Browser supported elements and resources to
build interactive user interface for editor and
player.
Notes to be saved as Json objects in a custom file
format for replaying interactively.
Custom file format and library

4. Solution
One place to create e-learning content for students.
Easy and lightweight video annotation service that enables playback of video and annotations together to reproduce the sequence of
notes at the exact time and position as inserted by user originally.
The custom json file can be embedded inside videos metadata or be played separately for online youtube video using url .

5. Service that annotates video on web interface and stores the
annotations in a time labelled custom json file format

6. Azure Cognitive Service for Auto generating Description and Tags

7. Azure Cognitive Service for confidence in Tags

8. Azure Cognitive Service used for caption and description for quick retrieval
and classification

9. How the project was completed

10. High level Solution Diagram for Cinemarkup

11. Storyboard

12. LoFi sketch to professional UI
Annotation Reader and Video player

13. WebRTC Webcam and Screen Recorder

14. - Simple note-taking during production
- Annotating video manual or tutorial with
personal notes for later reference
Remote workforce
Target
- Students for note taking
- Teachers / trainers
- School Districts
- Academics researching video
Students / Academics
Group 10
Team: Pacific Machines ( Altanai , Carrie, Cheng, and Peter )