计算机视觉代写： Assignment 3, From texts, and/or images to animation videos, Computer Vision,

计算机视觉代写代考(Compute Vision)

Assignment 3, From texts, and/or images to animation videos, Computer Vision,

2018

Abstract

The third assignment is about generating animation videos using texts and/or images. The submission will take the form of a conference paper.

1.  Introduction

The aim of this paper is to automate some of the animation production process. If you do not know the animation production process, google it. You need to explain the application, review the related work, and motivate the choice of your method here. The following questions may get you started, but you do not have to tackle all of them.

An animation video consists of a number of frames. Each frame is an image. If you only use a subset of the frames/images as key frames, how do you recover the animation video using algorithms? For example, a video may have 15 frames per second. If you only use 5 frames per second, how do you recover the other 10 frames?

If you are given a storyboard of an animation, how do you generate an animation video using algorithms?

If you are given a movie script (texts), how do you turn it to an animation video using algorithms?

2.  The method

2.1. Implementation

In order to be able to test the method you will need to implement it. Fortunately this is made significantly easier by the fact there are many existing implementations available. The choice of language, platform, compiler, IDE, and similar is up to you.

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3.  Submission

The submission takes the form of a conference paper, your code, and a demo video. Please submit a single zip file (compression) via myuni assignment submission interface.

In the zip file, please use three folders ’Report’, ’Code’, and ’Video’. Place your report pdf file only in the ’Report’ folder, and place your code in the folder ’Code’. Provide a README.txt file in the ’Code’ folder to explain how to use your code (such as downloading&installing some packages, execution of your code). Do not put large packages/libraries in ’Code’. Use README.txt to explain how to get packages/libraries. Place a short demo video in the folder ’Video’ in mp4 format. If the video is too big to upload to myuni, upload to youtube and provide the youtube link in a text file videolink.txt in the folder of ’Video’. Keep the submission light.

You need to write a paper such as might be submitted to a conference, and specifically a paper such as might be submitted to CVPR[1], which is one of the best conferences in Computer Vision. The paper must be in the CVPR format, and submitted as a pdf document. By far the easiest way to achieve that is to use LATEX. LATEXis a very powerful document formatting package, it’s free, and it is the only way to generate well formatted documents that contain maths. It’s also the easiest way to generate well formatted documents in general.

All the information about the CVPR paper format is available on their web site[1]. The paper must be all your own work, with no text copied from any other document.

The purpose of the paper is to demonstrate that you understand the problem, and the solution. This means that your submission should have sections which broadly cover the following

  • An introduction, which describes the problem, and the method
  • A background section which describes competing approaches to the problem. Achieving this requires that you understand what the competing approaches do, how they do it, their advantages and shortcomings, and how they compare to the current approach. The methods you compare against here may well perform better than the method you are describing. The idea of this section is not that you show that yours is necessarily the best method available, but rather that you show that you understand enough about the literature in the area to be able to put it in context.
  • A description of your hypothesis. This will typically require explaining some part of the algorithm in detail, and providing examples illustrating its effects and deficiencies. If you propose an improvement then you should describe how your method works, in enough detail that a reasonably skilled person would be able to implement it.
  • Experimental Analysis. Describe the tests you have run, and your motivation for having run them. Report the results of the tests and the conclusions that you have drawn. Again, the goal is not to show that your method outperforms all comparators, but rather that you understand what your method aims to achieve, and can devise, execute, and report upon a set of tests which demonstrate whether it does so. If you have improved upon the base method then you have an opportunity here to show that your improvement is well motivated, and possibly even that it works.
  • Demonstrate that you have learned something worthwhile from the process, possibly including ideas about what you might do to improve the method you are reporting on.

The paper you submit must be in the format specified for CVPR 2017, which is specified as part of the author instructions[1]. The easiest way to achieve this is to download the LATEXtemplate and use that. You can use some other means if you really want to, but your paper needs to conform to the CVPR style specification. The only exception is that I don’t mind if you use a4 paper rather than their preference for letter paper (it’s a US conference).

Good paper exemplars? Go to the CVPR websites (not limited to 2017), and read the BEST PAPER AWARD papers and the oral papers in the past. You may not fully understand the the papers, but they should give you some idea what a look paper should look like.

CVPR papers are up to 8 pages, and most of them are 8 pages. As for the assignment, it is limited to maximally 8 pages too, and there is no minimum page requirement (as we adopt CVPR requirement). If you can impress us positively with only 1 page, that is great. Though I think

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putting everything beautifully in one page is much harder than putting them in more pages. We will not be marking the quality of your code, only checking that it shows enough evidence that you wrote it yourself. We will mark the quality of the demo video.

4.  Assessment

Your submission will be assessed primary in terms of how well it demonstrates that you

  • understand the problem,
  • have come up with a sensible hypothesis
  • can design and implement a suitable set of tests which will demonstrate (or disprove),
  • can interpret the results of these tests, and draw a sensible conclusion.

Your submission will be assessed in terms of the demo video too. Do not forget to produce a demo video.

We will not be marking the quality of your code, only checking that it shows enough evidence that you wrote it yourself.

5.  Conclusion

If you have questions, please ask them on the forum, as they are likely to be of interest to others also. It is important to check the forum for the latest information about the assignment too.

References

[1] CVPR. Ieee computer society conference on computer vision and pattern recognition. See http://cvpr2017. thecvf.com/.

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