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Dr.Abdulellah Alsulaimani Student name : Amjed Aziz
Interactive Video
Reading on Education in English (EDUC 602)
Interactive Video
PESONALITY
DETECTION IN
INTERACTIVE
VIDEO
Interactive Video
Annotation Tool
A user supported
tracking
framework for
interactive video
production
An Eye-tracking-
based Approach
to Facilitate
Interactive Video
Search.
interactive video:
automatic
detection
Personality
temperament
adaptive learning
Interactive
tracking,
interactive video
Ground Truth,
Tracking,
Automatic
Annotation
eye- tracking,
machine learning,
search engine,
interactive, video
retrieval, support
vector machines
The 10th International Scientific Conference
eLearning and software for Education
Bucharest
PESONALITY DETECTION IN INTERACTIVE VIDEO
 The author notice four types of interaction with the video material – with the interface and video clip, with
the informational content of the video by:
1. Navigating in-depth (more information about the topic) .
2. Horizontally (similar video clips or correlated themes).
3. Social (interacting with other users).
4. Participative (contributing with multimedia materials back into the system).
Reflection
• We should be educators more share the interactive video in Education with the students.
• interactive video it will be more helpful for students and more interesting for them to affect
them in good path.
Interactive Video Annotation Tool
 Automatic and semi-automatic video annotation and labeling is the faster and
more economic way to get ground truth for quite large video collections.
 Increasingly computer vision discipline needs annotated video databases to
realize assessment tasks.
Reflection
 describe a new automatic and supervised video annotation tool.
 I think this too will be helpful in the classroom for the students, which can deal
the visual data association problem in real time.
Interactive Video Annotation Tool

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Presentation2 amjed (1)

  • 1. Dr.Abdulellah Alsulaimani Student name : Amjed Aziz Interactive Video Reading on Education in English (EDUC 602)
  • 2. Interactive Video PESONALITY DETECTION IN INTERACTIVE VIDEO Interactive Video Annotation Tool A user supported tracking framework for interactive video production An Eye-tracking- based Approach to Facilitate Interactive Video Search. interactive video: automatic detection Personality temperament adaptive learning Interactive tracking, interactive video Ground Truth, Tracking, Automatic Annotation eye- tracking, machine learning, search engine, interactive, video retrieval, support vector machines
  • 3. The 10th International Scientific Conference eLearning and software for Education Bucharest PESONALITY DETECTION IN INTERACTIVE VIDEO  The author notice four types of interaction with the video material – with the interface and video clip, with the informational content of the video by: 1. Navigating in-depth (more information about the topic) . 2. Horizontally (similar video clips or correlated themes). 3. Social (interacting with other users). 4. Participative (contributing with multimedia materials back into the system).
  • 4. Reflection • We should be educators more share the interactive video in Education with the students. • interactive video it will be more helpful for students and more interesting for them to affect them in good path.
  • 5. Interactive Video Annotation Tool  Automatic and semi-automatic video annotation and labeling is the faster and more economic way to get ground truth for quite large video collections.  Increasingly computer vision discipline needs annotated video databases to realize assessment tasks.
  • 6. Reflection  describe a new automatic and supervised video annotation tool.  I think this too will be helpful in the classroom for the students, which can deal the visual data association problem in real time. Interactive Video Annotation Tool