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Automatic Photo Annotator. Bryan Klimt May 10, 2005. Photo Annotator. Photos must be labeled with keywords to enable effective search Hand labeling photos is a tedious process Automatic Photo Annotator labels incoming photos based on statistical learning - PowerPoint PPT Presentation
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Automatic Photo Automatic Photo AnnotatorAnnotator
Bryan KlimtBryan Klimt
May 10, 2005May 10, 2005
Photo AnnotatorPhoto Annotator
Photos must be labeled with keywords Photos must be labeled with keywords to enable effective searchto enable effective search
Hand labeling photos is a tedious Hand labeling photos is a tedious processprocess
Automatic Photo Annotator labels Automatic Photo Annotator labels incoming photos based on statistical incoming photos based on statistical learninglearning
Annotator then learns from user Annotator then learns from user corrections corrections
Most common keywordsMost common keywords
Colors or PatternsColors or Patterns sky, water, trees, cloud, hazysky, water, trees, cloud, hazy
PeoplePeople bryan, amy, shyambryan, amy, shyam
LocationsLocations china, italy, pisa, tiantan, florence,china, italy, pisa, tiantan, florence,
firenze, beijing, luccafirenze, beijing, lucca
Types of ClassifiersTypes of Classifiers
Color-based methodsColor-based methods color histogramscolor histograms cumulative color histogramscumulative color histograms
Face-based methodsFace-based methods Face detectionFace detection Face recognitionFace recognition
Time-based methodsTime-based methods k Nearest Neighborsk Nearest Neighbors
Color-based PerformanceColor-based Performance
Cumulative ColorCumulative Color
Why does “color” fail?Why does “color” fail?
Photos that are Photos that are mislabeledmislabeled (because (because the feature is not the focus of the the feature is not the focus of the photo).photo).
Photos with similar color-patterns, Photos with similar color-patterns, but of completely different subjects.but of completely different subjects.
Hazy?Hazy?
Water?Water?
Face-based PerformanceFace-based Performance
FacesFaces
Faces?Faces?
Time-based ResultsTime-based Results
Final ResultsFinal Results
ConclusionsConclusions
Time-based annotator performed bestTime-based annotator performed best
Color-based annotator has inherent Color-based annotator has inherent limitslimits
Face-based annotator may become Face-based annotator may become important with more training dataimportant with more training data
Future WorkFuture Work
Hybrid MethodsHybrid Methods
Pattern-based annotatorsPattern-based annotators
Improving face recognizer with Improving face recognizer with unlabeled data?unlabeled data?