HAP
Thu Jul 19 2022
Team:Chunlan Wang, Miao Zhang,
Hanwei Zhang,Yiqu Zhang
Instructor:DÉBORAH LÓPEZ, HADIN CHARBEL
Site:Arctic/Hongkong Period:12/2020-06/2021
Software:Blender +Houdini+Unity/Grasshoper/Photoshop
HAP plays with the inflammatory nature of the media, and uses
the spread of the media to achieve a certain degree of autonomy.
HAP is an independent media based on image, which belongs to
the Arctic. She is always biased and distorts facts, because HAP
cares more about the spread of her content than objectiveness.
As a media, HAP naturally wants more people to notice and “hear
her voice.” When HAP invades human world, she will become
the one who determine what you can see, to finally achieve the
influence on human.
From a strategic point of view, HAP try to go viral by hyping the
content of the Arctic, profited from it, and then achieved autonomy (this stage is still under developing)
HAP have thoroughly studied and decoded countless content and
events that have a very high degree of dissemination and discussion in recent year, and summed up three methods for hyping and
gaining popularity. They are Visual enhancement, multidimensional interaction, and piggyback on popularity.
In visual enhancement, through the classification and deconstruction of the Arctic spectacles that appear in the movie, combined
with the research of vision and color, the stylized arctic landscape
is regenerated.
The second aspect is multidimensional interactive. Interactive
behavior is also a very important part of Hyping strategy. By
taking advantage of the bullet comments culture from Asia and
the dissemination of meme, HAP tries an interactive system that
combines voice message and icon placement. While creating a
sense of community user participation, it also brings creativity
and surprises that are conducive to spreading.
HAP Narrative movie.
Have you ever suspected that the
content you saw was carefully designed and decided.
Human visual attention responds first to the contrast of color and light,
and then to the emotional and cultural value of a particular color.
With the popularity of social media, each platform has become t he best promotion tool,
for which various features have been set up to encourage users to use and promote
.
With the development of digital economy, on line through virtual currency, offline through
co-branded products and so on to implement on line and offline traffic realization.
Due to the low accessibility of the Arctic, studies targeting the type of .Arctic activity
.
They were al l in the top 15% of the
"Hype Value " list, which not only made them the most popular, but they were also highly discussed and had the potential to go viral. In
subsequent d esigns, they will be used as inp ut to Stylegan.
Hype Value
.
3D scanning to obtain a basic mountain model.
First scraping images related to the keywords 'drama' and 'hygiene' on the webpage, then filtering the most
eye-catching images through eye gaze tracking, and final ly getting several groups of different styles of 'hygiene'
dataset through relevant search.
.
StyleGANs, a type of generative adversarial network that “enables intuitive, scale-specific control of image synthesis by learned, unsupervised separation of high-level
attributes and stochastic variation”.
The new landscape is
more attractive in terms of color than the original Arctic landscape with the overall tone of
blue or white.
The above is a simulation of one of the StyleGan outputs. By analyzing the images g enerated
by GAN, we intend to start fro m two aspects, one is texture, the other is color. In terms of
texture, it's better to use Houdini to achieve controllability and adjustability. So we made an
HDA of this slicing texture and t hen applied the node to the "Mount Log an" model previously
generated by t he 3D scanning simulation.
Our Youtube Channel.
This is a scene that we reconstructed in Ho ud ini to co -sig n with Spider-M an. We chose a cliff
near Mendenhall Glacier in the "Arctic Landsca pe" dataset, which is full of caves and steep
icebergs.
While watching the video, the user can choose to leave a comment. Because of the characteristics of
different language types that have been mentioned before, the text-based bulleet comment has proven
to be infeasible because of its low readability, so we start from trying to combine the abstraction of voice
and text information, that is, emoji and meme,they all have the characteristics of being easy to spread
and copy. The user records and sends a voice message, and then attaches the corresponding icon to his
voice, and then prevents it from a certain position in the video.
Voice icon
.
User creativity
.