Reading #28: iCanDraw? – Using Sketch Recognition and Corrective Feedback to Assist a User in Drawing Human Faces (Dixon)

Comment:

Chris

Summary:

This paper shows the first system for using computer-aided instruction to assits a student in learning to draw human faces. This system uses face and sketch recognition to understand the reference photograph of a human model and a user's drawing of it. When users drawing, the system can give feedback step by step once user require it. Actually, there is matching between template image and user drawing. Face recogniton algorithm is applied to template image and get feature set for this template image. And by using these features, the system can give feedback to users at real time.

Comment:

This is one of paper that written by our lab. However, I didn't use the system before. But anyway, the idea behind this paper is excellent. Giving feedback at real time is one important advantage for tutoring/educational system.

Reading #27: K-sketch: A 'Kinetic' Sketch Pad for Novice Animators (Davis)

Comment:

Chris

Summary:

In this paper, they introduced the K-Sketch, a general purpose, informal,2D animation sketching system. At first, they do the field studies investigating the needs of animators and would-be animators helped us collect a library of usage scenarios for their tool. Then they design the set of operations for animation as well as some optimazation techniques they used in K-Sketch. Experiment shows that K-Sketch when comparing to formal animation tool(ppt), participants worked three times faster, needed half the learning time, and had significantly lower cognitive load with K-Sketch.

Discussion:

In fact, I am thinking about building such kind of system, and K-Sketch is what I am expecting. For most of novice users, using flash software for animation is not easy task, user need such system to fasten the process of making animation. After reading this paper, I cannot wait using that system to see how is it working!!

Reading #26: Picturephone: A Game for Sketch Data Capture (Johnson)

Comment:
Chris
Summary:
In this paper, the author introduce the PicturePhone, a game for sketch data capture. This game needs three participants, the first participant is required to draw sketch according to the discritpion. The game works as follows: Player A is given a text description, and they must make a drawing that captures that description as accurately as possible. Player B receives the drawing and endeavors to describe it. Player C is given Player B's description and draws it. An unrelated player D is asked to judge how closely Player A and C's drawing match, which assigns a score to players A,B and C. The purpose of this system is to collect sketch data for researchers.


Discussion:
This is a smart idea. The data collection is very important for sketch recogntion research. And data collection itself is not easy for researchers. This software gives us a new way for collecting data, while encourage people to participate in data collection. But the problem is, at least in my opinion, I will not be happy to play such game, which seems boring to me and waste of time, and I don't care about how much score I get...

eading #25: A Descriptor for Large Scale Image Retrieval Based on Sketched Feature Lines (Eitz)

Comment:

Chris

Summary:

The paper addresses the problem of large scale sketch based image retrieval. The main contribution is a sketch-based query system for image database containing millions of images.For the traditional search system, users can only provides word for searching. For searching for images, they also have to provide word to describe the image, which seems very hard in some cases. However, people could remember how the image looks like, and they can tell you by sketching them on the paper. The system is doing that! Using sketched image to search for real images in the image database. The result show that their system is superior to a variant of the MPEG-7 edge histogram descriptor in a quantitative evaluation.

Discussion:

Wow! Awesome! This is my favorite system that I've seen before. As far as I know, this likely be the future search engine. Combine sketch and word to search for image is very cool thing and can give much accurate images that people want to retrieve. And it is better to let the system can learn from the people's action like selecting picuture.I am very excited to see this system.

Reading #24: Games for Sketch Data Collection (Johnson)

Comment:

Chris

Summary:

This paper is very similar with what I read just before. The paper introduces several systems which aim to collect sketching data for research purpose. These data can be shared by researchers on the web. In this paper, they showed two system, Picturephone and Stellasketch two sketching games for collecting data about how people make and describe hand-made drawings. The first system is already described in the previous paper in detail. Stellasketch is a synchronous, multi-player sketching game similar to the parlor game Pictionary. One player is asked to make a drawing based on a secret clue. The other palyers see the drawing unfold as it is made and privately label the drawing. While Picturephone's descriptions are meant to be used to recreate a drawing.

Comment:

This paper seems more detail than the previous paper. As said in previous discussion section, I pretty much the idea behind this author. They make the collecting sketching data, a boring task for participant, more interesting, in addition, this might encourage some people to participant these games. However, we might doubt about the correctness of these sketch data.

Reading #23: InkSeine: In Situ Search for Active Note Taking (Hinckley)

Comment:
Chris

Summary:
The paper introduce the fluid interface that encourage users to engage in active note taking. InkSeine is a Tablet PC application that supports active note taking by coupling a pen-and-ink interface with an in situ search facility that flows directly from a user’s ink notes InkSeine integrates four key concepts: it leverages preexisting ink to initiate a search; it provides tight coupling of search queries with application content; it persists search queries as first class objects that can be commingled with ink notes; and it enables a quick and flexible workflow where the user may freely interleave inking, searching, and gathering content. InkSeine offers these capabilities in an interface that is tailored to the unique demands of pen input, and that maintains the primacy of inking above all other tasks.The author also do the user studies so that maximize usability and focus on potential user scenarios.


Discussion:
Seems good,but I am not sure that I like the system. I guess that the system might not have fast speed.

Reading #22: Plushie: An Interactive Design System for Plush Toys (Mori)

Comment:

Chris

Summary:

The paper introduced the plushie, an interactive system that allows nonprofessional users to design their own original plush toys. The system provide different gestures for different editing behaviors. The system also provide feeback at real time that let people know how the 2D textured pieces looks like. The experiment results shows that the participants, which consists of kids, can draw flush toys without any difficulties and they also enjoy the system.

Discussion:

Honestly, I am not interested in this system, but in the HCI perspective, the system is very useful for aiding users to draw what they are hard to do before. The system seems more intesting for kids. I guess kids will be happy with the system and can draw very funny toys with the help of this system. In all, I am not so into the detail of system due to the fact that I am not interested in this system.