1 / 2

Video Shooting Navigation System by Real-Time Useful Shot Discrimination Based on Video Grammar

f. f+1. f + n. f. K.Uehara, M.Amano, Y.Ariki (Kobe University) and M.Kumano (Ryukoku University). Research Purpose. A lot of videos are left behind without editing. No knowledge of how to edit videos Video editing support system (ICPR02)

mulan
Download Presentation

Video Shooting Navigation System by Real-Time Useful Shot Discrimination Based on Video Grammar

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. f f+1 f + n f K.Uehara, M.Amano, Y.Ariki (Kobe University) and M.Kumano (Ryukoku University) Research Purpose A lot of videos are left behind without editing. • No knowledge of how to edit videosVideo editing support system (ICPR02) • Few useful shots in videos for editing Video navigation system (this paper) Video Shooting Navigation System by Real-Time Useful Shot Discrimination Based on Video Grammar Navigation System Too fast right-pan Slow right-pan Fixed camerawork Score is 80 Pan is fast. Video Grammar Shift R1: Fixed shot durations is longer than 3 seconds. R2: Pan and zoom shots are sur- rounded by fixed shots with about 1 second. R3: Shots with hand-shaking and rapid movement are excluded. R4: Too dark or too bright shots are excluded. Compare Compare Compare Expansion & reduction Processing Flow Start Camerawork extraction & Intensity average Shot state classification Navigation message No Shooting end? *At every 6 frame, the above state classification is carried out and all states are consistent for 1 second, the state classification for 1 second is determined. Yes Scoring Examples: Score 57 Fix1: 6/10=60% Fix2: 4/6=66% Pan: 9/12=75% Zoom:3/10=30% Score=(Fix1+Fix2+Pan+Zoom)/4=57 Guide message Display of useful sections End

  2. Experimental Result Shot classification rate Processing time

More Related