Feature Level Processing n n Lessons from lowlevel
- Slides: 61
Feature Level Processing n n Lessons from low-level vision Applications in Highlighting Icon (symbol) design Glyph design
Spotfire product
Visual symbols
Architecture for visual thinking
Primitives of Perception (the phonemes). n n The whole visual field is processed in parallel This machinery tells us what kinds of information are easily distinguished Popout effects (general attention) Segmentation effects (dividing up the visual field)
Segmentation by Primitive Features
Livingston and Hubel Neural Architecture
Orientation and Size (Gabor primitives)
Image segmentation based on texture
Vector fields like using gabors
Pre-Attentive Processing
Color is Pre-Attentive (Pops out)
Generic Pre-Attentive Experiment n n Number of irrelevant items varies Pre-attentive 10 msec per item or better.
Color
Orientation
Motion
Size
Simple shading
Conjunction (does not pop out)
Semantic Depth of Field
Compound features (do not pop out)
Surrounded colors do not pop out
Laws of pre attentive display n Must stand out on some simple dimension n n color, simple shape = orientation, size motion, depth Lessons for highlighting – one of each
Lessons: Highlighting how to make information available to attention Using color Using underlining A flying box leads attention Blinking momentarily attracts attention Motion elicits an orienting response
More Pre-Attentive
Conjunction (does not pop out)
Pre-attentive conjunction
Conjunctions of motion and shape do pop out. (color also? ) n Mc. Leod, P. , Driver, J. and Crisp, J. (1988) Visual search for a conjunction of movement and form is parallel. Nature 332, 154 -155. n Driver, J. , Mac. Leod, P. and Dienes, Z. (1992) Motion coherence and conjunction search: Implications for guided search theory. Perception and Psychophysics. 51, 1, 79 -85.
MEGraph: Experimental system n Allows for various topological range highlighting methods MEGraph Goal from 30 to 2000 nodes
Pre-Attentive Channels n n n Form (orientation/size) Color Simple motion/blinking Addition/numerosity (up to 3) Spatial, stereo depth, shading, position
Pre-Attentive Conjunctions n n n Stereo and color Color and motion Color and position Shape and position In general: spatial location and some aspect of form
Pre-Attentive Lessons n n n Rapid visual search (10 msec/item) Easy to attend to Makes symbols distinct Based on simple visual attributes Faces, etc are not pre-attentive
Designing symbols
Perceptual Channels n n n Color (3) Shape (size, orient) Motion (2? ) Texture (2++) Position (x, y)
Spatial Channels Like interferes with like
Size contrast effect
Orient contrast
Size contrast effects can cause errors in information display
Chris Weigle: orientation channels for info display
Mapping data to display variables Data glyphs n n n n Position (2) Orientation (1) Size (spatial frequency) Motion (2)++ Blinking? Star glyph Color (3) Method Note we have the problem of heterogeneity – There is no good solution
Starplot glyph
Spotfire product
Integral and Separable dimension (Garner) n Can we read display attributes n n n Independently Holistically Speeded classification task. Sort into two piles on one dimension or another
Integral red-green yellow-blue black-white red-green x-size y-size Color orientation Motion Color Separable
Lessons for Information Display n n n Orthogonality - use a different channel for a different type of information If you need this use separable challenge If you need to highlight by two properties use separable dimensions.
The programmable filter n n n We can only look for patterns of simple features Conjunctions of shape, color cannot be programmed for parallel search of field Conjunctions of depth/motion and color/shape can be Integral dimensions tend to be seen holistically cannot be separated Separable dimensions tend to be seen separately
Searchlight Model of Attention
Searchlight Properties n n n Size varies with data density Size varies with stress level Attention operators work within the searchlight beam Attention is a tunable filter Eye movements 3/sec – A series of saccades
- Feature dataset vs feature class
- Isolated feature combined feature effects
- Bottom-up processing examples
- Bottom up processing vs top down processing
- Bottom-up processing example
- High boost filtering matlab
- What is secondary food processing
- Point processing in image processing example
- Histogram processing in digital image processing
- Parallel processing vs concurrent processing
- A generalization of unsharp masking is
- What is point processing in digital image processing
- Gonzalez
- Bottom up vs top down processing
- What is interactive processing
- Deep processing example
- Gray level transformation in digital image processing
- Intensity slicing in image processing
- Kendall and marzano's taxonomy
- The level of processing approach
- Intensity transformation in digital image processing
- Molecular level vs cellular level
- Isis level 1 vs level 2
- Dr shaffi
- Isis level 1 vs level 2
- Confidence level and significance level
- Confidence level and significance level
- Data flow diagram level 0 1 2 examples
- Level security
- Costa level questions examples
- Instruction level parallelism vs thread level parallelism
- Rcp hlsl
- Pfp courses cut off points
- Word choice lessons
- What is diction
- Vex iq lessons
- Tinkercad lessons for middle school
- Shunammite woman lessons
- Great gatsby lesson
- The five people you meet in heaven lessons
- Lessons from the ten plagues of egypt
- Richard boleslavsky
- Python turtle lessons
- The teacher assigns homework after 3/4 of the lessons
- Outstanding pmld lessons
- Nancy dean
- Lessons learned faa
- The lorax worksheet answers
- Lessons from judges
- Naaman healed of leprosy lesson
- The rich young man matthew
- Team building lessons from chak de india
- Lessons from the geese
- Who was responsible for the hyatt regency walkway collapse
- Lessons from hadith 18 of annawawis collection
- And god visited sarah
- Deconstructionism definition
- Lesson from the ants
- Change management lessons learned
- Lessons from acts 14
- What i need to learned about life of pi
- 7 habits of highly effective teens lessons