Human Computer Interaction 360-degree video (QoE) experiment (Python/Statistical video analysis)
Budget: $30 – $250 USD
I am looking for a freelancer who is experienced in human-computer interaction and statistical video analysis to help me with a project. The project involves conducting a 360-degree video experiment and analyzing the data collected from it.
Purpose of the Experiment:
- The purpose of this experiment is to analyze statistical data from 360-degree videos.
Specific Data Points to Analyze:
- I would like to analyze both user interactions and video quality data points from the videos.
Expected Outcome of the Analysis:
- The expected outcome of the analysis is to identify patterns or behaviors within the data collected.
Ideal Skills and Experience:
- Experience in human-computer interaction and statistical video analysis
- Proficiency in Python programming language
- Knowledge of 360-degree video technology
- Ability to analyze and interpret data effectively
In details:
- Do the descriptive analysis such as compute boxplot with mean, median, confidence interval for three attributes (presence, comfort, quality of experience) for each source content (dance, 360 partnership, jet, park, amizade, cart) and edit type (noedit, snapchange, faderotation10/20/40/60) and finally calculate correlation between attributes presence, confort and overall quality of experience.
- Perform Hypothesis testing such as
a. Examine distribution of subjective scores of score given to comfort attribute. Perform a statistical test to determine if score distribution is normal.
b. Taking into consideration the test performed, analyze the impact of different parameters (type of edition, source content, HMD) on presence attribute
c. Perform interaction analysis of the parameters and attribute presence
- Head Motion Data
a. Extract and preprocess head motion data and create 3D visualization of head motion data, speed and trajectory using matplotlib. Seperate data by source content and edit type.
b. Determine if presence scores have a significant impact on head speed.
c. Using provided source video file, implement a field of view visualization to measure the distance between center FOV and center of region of interest.
If you have the necessary skills and experience, and are interested in this project, please submit your proposal.
Purpose of the Experiment:
- The purpose of this experiment is to analyze statistical data from 360-degree videos.
Specific Data Points to Analyze:
- I would like to analyze both user interactions and video quality data points from the videos.
Expected Outcome of the Analysis:
- The expected outcome of the analysis is to identify patterns or behaviors within the data collected.
Ideal Skills and Experience:
- Experience in human-computer interaction and statistical video analysis
- Proficiency in Python programming language
- Knowledge of 360-degree video technology
- Ability to analyze and interpret data effectively
In details:
- Do the descriptive analysis such as compute boxplot with mean, median, confidence interval for three attributes (presence, comfort, quality of experience) for each source content (dance, 360 partnership, jet, park, amizade, cart) and edit type (noedit, snapchange, faderotation10/20/40/60) and finally calculate correlation between attributes presence, confort and overall quality of experience.
- Perform Hypothesis testing such as
a. Examine distribution of subjective scores of score given to comfort attribute. Perform a statistical test to determine if score distribution is normal.
b. Taking into consideration the test performed, analyze the impact of different parameters (type of edition, source content, HMD) on presence attribute
c. Perform interaction analysis of the parameters and attribute presence
- Head Motion Data
a. Extract and preprocess head motion data and create 3D visualization of head motion data, speed and trajectory using matplotlib. Seperate data by source content and edit type.
b. Determine if presence scores have a significant impact on head speed.
c. Using provided source video file, implement a field of view visualization to measure the distance between center FOV and center of region of interest.
If you have the necessary skills and experience, and are interested in this project, please submit your proposal.