Automatic Extraction of Machine Tags in Flickr Service
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Mikołaj Leszczuk, Michał Grega, Jarosław Gliwski
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Automatic Extraction of Machine Tags in Flickr Service
- 1. “Automatic Extraction of Machine Tags in Flickr Service” Mikołaj Leszczuk, Michał Grega, Jarosław Gliwski 2017-05-09
- 2. Need for More Flickr Machine Tags 2
- 4. Previously Reported Automated Extraction of Machine Tags » Face detection/people head-counting » Face recognition » Text detection/recognition » Logo detection/recognition » Watermarks detection/recognition » Dominant colour of clothes » Near-Duplicates (image similarity) » Bokeh effect detector » Profile/en face classification » Smile detection » Unshaved faces » Red eyes detection » Nudity identification » Dominant colour counter » Landmark object recognition » Sky(line) detection » Emotion detection » Age classifier 4
- 5. New Automated Extraction of Machine Tags 5
- 6. Detection of “Talking Head” Pictures (1/2) » Based on Mouth Region of Interest processing » Processed picture- by-picture 6 Face detection Mouth movement detection Cascade classifier Not Talking HeadTalking Head
- 7. Detection of “Talking Head” Pictures (2/2) » Face detection using Haar Cascades » Sensitivity 88%, Specificity 100% » Developed 7
- 8. Detection of Day & Night Pictures » Recognising: – Day scenes – Night scenes » Based on neural network » Tested on >2000 photos » Accuracy >90% » Developed 8
- 9. MOAVI Video Quality Indicators » Video quality assessment system for video sequences » Quality of Experience (QoE) » 13 quality parameters » Temporal Activity (TA) » Spatial Activity (SA) » Developed 9
- 10. Recognition of Gestures » Creation & implementation of algorithms to recognize gestures in pictures » Pending 10 By Comixboy at English Wikipedia, CC BY 2.5, https://commons.wikimedia.org/w/index.php?curid=9672553
- 11. Indoor/Outdoor » Recognising: – Indoor scenes – Outdoor scenes » Pending 11
- 12. Proceeding » Create software allowing use of image indexing technology, to supplement VIME database of Flickr channel images » Expected result of work (June 2017): creation of machine tags in selected Flickr service 12
Editor's Notes
- Face should be large enough (3% of the scene size) One face only (90% of the frames in scene with 1 face) Open/closed ratio 20% or higher