Optimizing Newspaper Advertisement. Human Attention Heatmap, Computer Vision Eyetracking study.

Automatic Human Visual Attention Modeling for comparing visual impact of various advertisement blocks in newspaper. Human Vision model-based eyetracking study. Example of an eyetracking "heatmap" that shows how much users are likely to look at different parts of a video. Areas where users looked the most are colored red-black; the yellow-green areas indicate fewer fixations, followed by the least-viewed blue areas. Gray areas didn't attract any fixations. Three Visual Attention centers and their directions are painted in (white-first/green-second and third). Fixation time is given for fast video scanning mode. Automatic video eyetracking and advertisement optimization using computer vision only. Heatmap generation using computer vision only. No expensive eye tracking studies needed. Both low level (color, edge, texture, ...) and high level (text recognition and understanding, object recognition and understanding, ) analysis is done. Direction of human attention is computed using 80000 training (human-based) samples. Very fast processing time - 2 fps. Accurate and robust (87% compared to eye tracking results on the same database).

Category:

Science & Technology

Tags:

• newspaper
• advertisement
• ad
• heatmaps
• heatmap
• eyetrack
• eyetracking
• video
• computer
• vision
• pattern
• recognition
• image
• processing
• vs
• human
• attention
• model
• eye-tracking
• eye
• movement
• usability