Advances in both Behavioral Vision Science and Computational Vision are the basis for computational models of human visual attention that take as input an image or video and make predictions about where people will fixate in the first 3 to 5 seconds of viewing. Initial fixations play an important role in acquiring an understanding of a scene and/or content and serve as the gateway to further visual analysis. 3M Visual Attention Service (3M VAS) uses a computational model of visual attention to make predictions about where initial fixations will occur in an image. Validation studies are presented in which eye-tracking results are compared to the predictions made by 3M VAS on the same set of images. Using signal detection Response-Operator-Characteristics (ROC) we found that the model was able to predict human fixations at around 85% of the theoretical limit (theoretical limit being eye-tracking). If biases are removed from the eye-tracking data (e.g., the central bias which is a function of collecting data on computer monitors), the model performs at approximately 90% of the theoretical limit.
3M Visual Attention Service is a software tool that takes as input an image or video and as output makes predictions about where people will initially look within that scene. The software is based on 30 years of research in academic institutions and recent research at 3M to better understand what people will initially notice. The goal of this research is to develop a deep understanding of how visual attention is initially allocated in a complex scene—that is where will people look—and to translate that knowledge to a software tool that predicts where these initial fixations will occur.
Performance Evaluation
1. Introduction
There has been a great deal of research in Vision Science and
Computer Vision to develop theories of visual attention that
are converted into mathematical equations and algorithms
that make explicit predictions about where people will
initially look when viewing complex scenes such as
shopping malls, streets, magazine pages, web pages,
advertising content, etc.
But how does the visual system make decisions on where
to look? The human visual system takes in a large amount
of visual information (that is, the entire visual field) at any
given time. However, the human visual system expends the
bulk of its resources processing only a small fraction of this
information—typically where the viewer is fixated. Although
the majority of the visual field is not being attended to, it
serves as an important part of the visual experience. The
human visual system uses the information in the periphery to
monitor regions that might be of interest to the viewer—the
regions that attract visual attention. If the early perceptual
properties (color, motion, contrast etc.) are engaging, the
human visual system will move its fixation to that location
to gather more visual information. Thus, when one initially
enters a room, or initially turns a corner, or looks at a
magazine page, the human visual system surveys the scene to
become aware of what might be important within the scene.
Based on prior research, during this initial “surveillance”
period our visual system is attracted to low-level perceptual
features such as color, luminance, edges, motion and other
early visual processing elements. This initial surveying
typically occurs in the first 3-5 seconds. During this survey
period the visual system analyzes the visual representation
projected on the retina and based on that information the
eyes are drawn to particular regions of the scene based on
the visual features (e.g., color, contrast, text faces, etc.).
What people do after this initial 3-5 seconds will depend
on Top-Down processing. These secondary fixations that
are primarily driven by Top-Down processing will use the
information gathered during these initial fixations to decide
Figure
2. Data & Methods
L3M VAS was validated using eye-tracking data. Data
used for this validation consisted of four different data sets,
two of which were collected by academic research labs
(MIT & York University) and the third and fourth sets were
collected by 3M. Each data set consisted of eye fixations data
collected for relatively short periods of time (3-5 seconds) for
a variety of images (indoor scenes, outdoor scenes, people,
advertisements, etc.). This provides a measurement as to
where people will initially look at an image.
All of the data were collected in a similar way: participants
were seated in front of a computer monitor and images were
presented one at a time for a given period of time. In between
each image there was either a short fixed inter-image pause or
a wait period in which the subject pressed a button indicating
that they were ready for the next image. Participants were
instructed to “freely view “the images during that time (that
is, they were not given any specific task to complete). During
the free viewing period, eye-tracking equipment measured
and recorded where the participants looked at the image.
Figure 1 provides an illustration of eye-tracking data for a
single subject. The blue circles indicate the location and
the size of the circle indicates the dwell time for a particular
subject. The red “+” in the upper-left illustration of Figure 1
shows the combined location of all 20 participants who looked
at this image in the 3M study.
Validating 3M Data Collection Techniques
One of the goals of the current study is to show that the
methods 3M uses to collect data match those of outside
research institutions. To do this, we collected eye-tracking
data using the images from a previous study conducted at
York University in which eye-tracking data from their lab is
made publically available (http://www-sop.inria.fr/members/
Neil.Bruce/eyetrackingdata.zip). The York University images
consisted of 120 images of various indoor and outdoor
3. Response-Operator-Characteristic
LTo evaluate the predictive performance we calculated ROC
values using a split-data method in which we calculated how
well one-half of the subjects fixation data predicted the second
half of subjects (randomly selected) for each image and then
compared the predictive power of the 3M VAS predictions
to that of using human data. To do this we generated two
predictive maps for each image. One predictive map was
generated by taking one half of the subjects and generating a
heat map representation from the subjects’ fixation locations.
The second heat map was generated by using 3M VAS to
analyze each image.
For both sets of predictions (human and 3M VAS) for each
pixel there is a continuous value associated with the strength
of the prediction for that pixel. To generate an ROC value
for each image we varied the threshold of how liberal of a
prediction would be considered. When the threshold is high,
the model makes very few predictions as to where attention
will be allocated, has only a few hits and has very few false
alarms (see lower left corner of ROC curve in Figure 4).
However, as the threshold decreases, the area in which the
model is predicting becomes larger and the model correctly
predicts more fixations. However, this increased region
also increases the number of false alarms. To evaluate the
performance of information available in the Heat Map we
used the ROC calculation described above.
ROC takes into account multiple threshold levels and
measures the number of Hits (correct predictions) and False
Alarms (incorrect predictions; see Figure 4 for an illustration)
for each threshold level. After generating the Hits and
False Alarm rates for multiple thresholds, a single metric
is generated by calculating the area under the curve. Thus,
if the model perfectly predicts the data, the prediction will
have a ROC value of 1.0. Figure 5 (next page) shows the
distribution of ROC values for the different images for the
Human-To-Human comparisons for the York University,
MIT and 3M advertising data. The York University data
predicted itself with an average ROC value of 0.819. The 3M
data predicted the York data with an average ROC value of
0.812. This insignificant difference indicates that the methods
and procedures used at 3M closely match those used at York
University. The MIT data predicted itself with an average
ROC value of 0.89 and the 3M advertising data predicted
itself with an average ROC value of 0.93. These values
provide us with the upper-theoretical performance boundary
by which we will compare 3M VAS performance.
3M VAS Prediction Efficiency
The Human-to-Human analysis provides a valuable metric for
evaluating the efficiency of 3M VAS. Because the Humanto-
Human analysis provides a way to measure the Theoretical
Limit of performance — the very best predictive
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4. Fixation Biases in Eye-Tracking
Within the eye-tracking community it is well known that
when collecting eye-tracking data on computer displays there
are particular fixation biases that are not determined by the
content that is on the computer screen. One well known bias
is known as the Center Bias or the Center Fixation Bias. The
cause of this bias is due to multiple factors. One known factor
is that fixating in the center of the screen provides the most
information about the image (given the resolution fall-off in
peripheral vision). However, the center bias is due to the fact
that people are looking at images on a computer screen. 3M
VAS does not predict how people will look at these images on
a computer screen but instead how people will look at these
images in the real world . Using a technique described in
Zhang et al. (2008) we evaluated both the Human-to-Human
performance and the 3M VAS performance removing the
center bias and any other fixation biases that might have
occurred in the data collection.
Within the eye-tracking community it is well known that
when collecting eye-tracking data on computer displays there
are particular fixation biases that are not determined by the
content that is on the computer screen. One well known bias
is known as the Center Bias or the Center Fixation Bias. The
cause of this bias is due to multiple factors. One known factor
is that fixating in the center of the screen provides the most
information about the image (given the resolution fall-off in
peripheral vision). However, the center bias is due to the fact
that people are looking at images on a computer screen. 3M
VAS does not predict how people will look at these images on
a computer screen but instead how people will look at these
images in the real world . Using a technique described in
Zhang et al. (2008) we evaluated both the Human-to-Human
performance and the 3M VAS performance removing the
center bias and any other fixation biases that might have
occurred in the data collection.
5. Modified ROC
The modified ROC (mROC) calculates performance in much the same way as the standard ROC. As a reminder, the standard ROC calculates the number of hits as a function of the number of false alarms (incorrect predictions) by varying the levels of threshold (threshold independent analysis). The right side illustration in Figure 4 illustrates a sample curve. The mROC, by contrast, evaluates how well the predictions generated for a particular image (e.g., Image-1) predict the
fixations for that image against the fixations for all of the other images. As with the standard ROC approach, the mROC calculates the percentage of hits for the target image (i.e., correctly predicting the fixations for the target image for a particular threshold) against the percentage of hits for the
fixations for all other images in the study. It is well known that when collecting data on a computer
there is a bias for fixating in the center of the screen (Tseng et al. 2009). There are a number of reasons for this center bias, which were discussed and evaluated by Tseng et al. (2009), that we will not go into in this manuscript. Removing this center bias from the analysis is important since the performance of the model will be reduced because the model predicts what people will see in a real environment (free viewing with no frame), not how perform in an eyetracking
study on a computer. It should be noted that one way to improve the model’s performance is to put an explicit center bias within the model’s predictions. However, this improves the model’s performance for predicting fixations on a computer monitor but not necessarily in the real world.
One way to think about the mROC calculation is that the mROC evaluates how well the model is able to predict the unique fixations for a target image relative to all other images. More accurately, the more unique the correctly predicted fixation positions for a particular image, the more
weight that is given to the score. Therefore, if there are numerous fixations in the center of the computer screen and the model correctly predicts these fixations, these scores will
be weighted less than a prediction made to fixations where, overall, there were very few fixations across all of the images.
A study from 3M shows that a business would have to spend over $130,000 on television ads to generate the annual impressions of a $3,500 wrap!
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Click here for a general Price!
NOTE: prices do not include full vehicle disassembling or re-assembling, or removal of previous films, wraps, and clear bra.
No, but improper installation or removal can! A bad install means your vehicle’s paint might get damaged from razor blade scratches, and poor adhesion that ultimately leads to wrap failure. Also, if the wrong type of film is used during the application like a sign vinyl with extra strength adhesive or low flexibility, it can strip your paint and cause serious damage if & when it is not removed with care!
Wrap life span really depends on how well the film is cared for, how much day to day stress the wrap gets from road driving, and what quality of film was used to do the installation. Some films last longer than others, and the thicker they are the more damage they can take. We’ve wrapped vehicles that see plenty of road & track time, and their films have survived more that 5 years without needing parts re-installed or failing entirely.
Most definitely. While it is a bit of a tedious process to undertake, we offer wrap removal services as well as installation, and would be happy to assist. Contact us with more information about what type of wrap you would like to have removed & we’ll help you get back to fresh paint!
Can you install my vinyl for me?
Typically we don’t install any film we’re not already stocking. There are a lot of knock off films out there that aren’t designed for vehicle wrap applications, so if you want help making a selection just contact us for a recommendation!
No. With primed and unpainted vehicles or body kits, the surface texture does not allow for proper adhesion of air egress vinyls, and makes the wrap prone to failure & lifting.
Proper wrap care starts with the basics. Keeping your vehicle’s surface clean is the primary concern, so frequent hand washing to eliminate surface contaminates is necessary if you want to keep your wrap from getting stained or damaged from road grime. For those of you with a gloss free exterior, we offer wrap waxing services for matte & satin films to help keep them protected as well as maintain a nice soft, flat finish.
Primarily, the film thickness. Matte opaque options have become more and more popular for those wanting a complete color change, while our satin clear applications are more tailored to those who simply want to change their factory paint finish while also adding a layer of protection.
Most opaque and textured wrap films are thin and pliable so they can stretch easily during application. Unfortunately, thinner films are more prone to failure, and typically don’t offer much paint protection. However, some wrap films are so thick that they can add a layer of protection – specifically, our satin clear applications. Typical matte colored film is around 2-4 MILS thick and wont bare too much of an impact from large rocks or chunky road debris, but satin clear is on par with standard clear bra protection at around 7-9 MILS thick, keeping your paint that much safer.
We typically don’t stock much vinyl other than what is necessary for current projects. Since we work with such a diverse range of clientele with a wide array of tastes and styles, we install just about every type of film on the market (and some custom ones too!) 3M, Avery, Oracal, Hexus, KPMF, you name it, we’ve used it. If there’s a specific film you want to use, let us know and we’ll find it for your vehicle at the best price available. We can even special order a one-off film, create a custom printed design, or track down something unique if you really want to break away from the pack!
As the age old saying goes, you get what you pay for. Our prices reflect the quality of work that goes into each installation, and our installs are incredibly thorough & time consuming. Speedy & cheap installs typically lead to cars being bladed up, films not being properly applied or given enough time to breathe, and ultimately a shorter life span for the wrap. Also, most installers will not offer any sort of warranty if the wrap film fails or was applied improperly. Not only do we make sure that your vehicle’s exterior is spotlessly clean to ensure proper adhesion and no film failure, but we also go the distance in disassembling your vehicle prior to wrapping. That means no unnecessary seams, no bad cuts, or messy edges. If the film we supplied fails, bring it in and we’ll make it right until you’re satisfied with the results.
If the wrap is our primary focus, turn around time can be as short as a week or less depending on complexity. Stripes, graphics & accent pieces can typically be completed in 24 – 72 hours, but exterior wraps or full color changes with door jambs will take considerably longer. Since we’re a fully functioning detail shop with more than just wraps on our plate, installation times will vary depending on the project and when it’s scheduled. If you’re on a deadline or want to expedite your install, just let us know what the time frame is and we’ll factor it in when we set up your appointment.
There are pros & cons to both wrapping or painting your vehicle, and normally a high quality paint job will cost just as much if not more than a high quality wrap. A cheap paint job is rarely a good thing, and preserving original paint is something we value, so we tend to side with wrapping. While it might be “cheaper” to do an easy respray on your vehicle for a change of color, it will ultimately damage the value and make it harder to resell down the line. A wrap can be removed easily, doesn’t run the risk of inconsistencies that come with a cheap paint job, and can potentially increase the resale value to prospective buyers if they plan on keeping it wrapped.
We don’t regularly, but discounting vehicle wraps is something we take into consideration for appropriate parties who would like it known where they had their wrap installed. If you are interested in representing and promoting the NorthWest Auto Salon brand as part of your color change, printed wrap, or custom graphics in a new or innovative way, please send us a complete proposal with details about the vehicle, wrap design, film choices, project affiliates, and a schedule of where the vehicle will be on display or in competition.
In most cases, yes. While the jury is still out on the legality of vehicle wraps in most states due to their recent rise in popularity, we have heard of action being taken to limit certain films from road use by regulating their production size. Varieties of chrome & reflective films are intended for off road use only or for minor graphical additions as opposed to total car coverage, but there isn’t a current state law barring you from changing the color of your car via vehicle wrap that we know of, or requiring you to re-register your vehicle in a new color.
For starters, we were one of the first detail shops in the greater Pacific North West let alone the United States to performed a full vehicle wrap using matte black film. We’ve had more experience with total coverage vehicle wrapping than any other detail shop in the business, and have worked on wrap projects spanning a wide array of cars & clientele from the most average to the most exotic. Our in house design team produces cutting edge aesthetics that set the trends for the rest of the wrap industry, and our access to exclusive materials & manufacturers is unmatched. Having your vehicle wrapped by
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Most definitely. Dirt and contaminants on your exterior would be trapped under the film, posing greater harm to your paint and eventually causing the wrap to fail if they were not cleaned off before installation. Thus, we must require a full 24- step hand wash and clay bar decontamination before the wrap is applied.
There are a few courses of action we can take depending on how your wrap gets damaged, where the damage occurred, and how extensive it is. Worst case scenario, the wrap must be removed entirely, but more than likely we will be able to pull a section of the wrap and replace it with a new piece of film that was left over from your installation. Depending on the design or layout of your wrap and where the damage is located, we may also need to reprint graphics or simply patch a spot in.
Printed, branded, and customized vehicle wraps are something we specialize in. If you already have a design mocked up and simply need to get film printed and applied, or you want us to take it all the way from concept to completion, we would be glad to assist in bringing your personal or company fleet vehicles up to spec.
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