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Feature extraction & content description I
Published on Feb 25, 200717191 Views
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Chapter list
Feature Extraction and Content Description00:00
Prelude01:22
Prelude01:37
Index02:30
The trouble with images - the modeling gap02:32
the semantic gap03:01
the semantic gap03:41
the sensory gap04:21
conclusions05:18
conclusions06:16
Index07:01
Picture07:07
Hall of fame07:44
electromagnetic spectrum08:24
Spectral power distribution08:50
the triplet light-objects-observer09:35
the triplet light-objects-observer: reconsidered10:01
Light sources and illuminants10:23
Influence of light sources and illuminants10:43
Influence of light sources and illuminants11:02
Index11:26
This makes the image11:30
Colorimetry: CIE XYZ-system12:05
Colorimetry: xy-system12:41
Colorimetry: Illuminants in the xy-plane12:57
Colorimetry: colour gamuts in the xy-plane13:01
Colour camera: The RGB-colour space13:12
Colour camera: The rgb-colour space13:38
Colour camera: H,S,I definitions14:12
Opponent colors15:41
La*b* colour space16:18
Colour circle: warm and cool colours16:45
Colour harmony17:06
Colour harmony17:54
Index19:20
Picture19:32
general model20:01
detailed model21:02
body reflectance in RGB - space21:58
body reflectance in RGB – space: matte surfaces22:30
body reflectance in RGB - space23:18
body reflectance in RGB - space23:37
reflectance under white light24:16
reflectance under white light reconsidered24:40
RGB - space25:07
RGB - space25:44
rgb – photometric invariance: proof26:03
matte objects26:35
matte objects27:45
c1c2c3 space28:10
c1c2c3 space28:50
Hue is viewpoint invariant29:39
Hue is viewpoint invariant29:47
Shiny objects30:09
Shiny objects: l1l2l3l - space30:33
Shiny objects: l1l2l3l - space31:13
Colour constancy31:47
Colour constancy32:07
Colour constancy using higlights32:40
Colour by correlation33:16
Colour by correlation33:43
Colour ratios: diagonal model34:18
Colour ratios: model34:46
Colour ratios35:55
Colour ratios36:30
Taxonomy36:43
Illustrations42:37
Experiments on retrieval by example43:15
Grass detection: example43:47
shape44:46
Shape44:51
Index45:09
taxonomy of image structures45:28
taxonomy of image structures: reflectance and geometry46:13
overview of photometric invariances (see above)47:19
colour edge detection48:04
colour edge detection48:10
colour edge detection48:13
detection of highlights in HSI-space49:13
detection of shadow invariant corners: the Njet49:45
The detection of shadow invariant corners: the Hessian50:28
classification in HSI-space: highlights50:59
classification in ??? space: shadow T-junctions51:19
classification in HSB – space: highlights51:30
classification in HSB – space: geometry edges52:10
classification in RGB – space: corners52:34
classification of color edges52:48
classification of color edges53:21
classification of color edges54:02
classification of color edges54:23
colour edge classification real time demo54:36
colour edge classification real time demo55:13
colour edge classification real time demo55:36
Index - Object shape55:53
Object shape56:12
multi-scale, example: SQUID56:24
normalized moments56:54
example: QBIC system57:03
conclusion: feature selection57:18
Index - Shape similarity57:59
Shape through transformation58:02
Shape through transformation58:19
Shape through transformation58:42
Real time demo59:11
Real time demo59:45
Texture: 2-D Gabor filters01:00:27