Group Member：邓海伟，毕文东，孙雪涵，易兴睿
This methods enabling hidden screen-camera channel. We hope to embed data frame into primary videos unobviously.
So that when the video is being played, human eyes cannot percept the embedded data frame. Human eyes can only see the origin video content. But the data frame embedded in the video can be captured with a camera, and then decoded.
This topic is a new transaction model using the light
It trade communications between computer and mobiphones, later we will give a detailed description of this.
We compare differences between non-uniform and uniform color spaces with their hue and lightness palettes.
There are three annuluses in each color palette. The middle annulus has lightness L. The outer and inner annuluses have lightness L+ΔL and L-ΔL. For the palettes in non-uniform color space, color differences are not uniform.
For example, color differences are more obvious here.
While color differences are less obvious here.
For palettes in uniform color space,
The color differences are more perceptively uniform.
Uniform color spaces suit human system better. Therefore we choose uniform color spaces for lightness modificvisionation.
The main structure of Chromacode is as follows:
This video on the left is the final processed video with data frame embaded. Some factors of environments may infect the performance of our system. The experimental conditions are very harsh, and the parameter selection is related to:
And some bad environmental conditions may lead to bad results. But in general case, it works well.
There are mainly three key goals in hidden screen-camera communication. They are:
However, these three key goals can be conflicting.
For example, we can increase lightness adjusting amount to achieve more reliable data transmission, but more flickers may be observed by human eyes.
Previous works usually made a trade-off among them. In our work, ChromaCode aims to achieve all three goals while retaining watching experience to users.
Our demo video is shown on the right.
You can download all of our videos from HERE!
In our project, we divide our tasks into three parts: Processor, Sender, Receiver.
Here are the downloing link of our all source files：
Finally, you can download our project report from HERE!
