Help brainstorming potential categories for a 10,000-image system

10000-image-systems

(Nicholas Mihaila) #1

As I mentioned in another thread, I’ve been thinking about developing a phonetic category-based system as an extension of the Ben system. Each image would correspond to a 4-digit sequence for decimals and some would also include a 12-digit sequence for binary. As the title says, I’m hoping to get some help brainstorming the categories.

1600 of the images are directly carried over from the Ben system, so this leaves 8400 images. These 8400 images are then grouped in categories, each of which consists of 100 images. The structure for the naming is [category] + [individual image name], which is bisyllabic and in the form [consonant][vowel][consonant][vowel].

Here’s what I have so far:

tA:
tE:
tI:
tO: toys
n[vowel]: all empty
moo: movies
ma: machines
me: Metroid
mi:
mo: marine life?
mu: muppets
m[long vowel]: all empty
r[short vowel]: all empty
rA: racing (cars, bikes, etc.)
rE:
rI:
rO: robots
loo:
la: lab supplies
le: electronics
li:
lo:
lu: lunch?
lA:
lE:
lI: lights (related displays, games, etc.)
lO: Lord of the Rings
[j/g]oo: jewelry
[j/g]a: gas-powered
[j/g]e:
[j/g]i: gym equipment
[j/g]o: gardening
[j/g]u:
[j/g]A: games
[j/g]E:
[j/g]I:
[j/g]O:
koo:
ka: candy
ke: chemistry (redundant w/lab supplies)
ki: kitchen appliances
ko: cartoons
ku: kung fu
kA:
kE:
kI:
kO: clothes
[f/v]oo: food
[f/v]a: Family Guy?
[f/v]e: fair
[f/v]i: video games
[f/v]o: fossils (dinosaurs, alive)
[f/v]u: fungus?
[f/v]A: fangs (fictional monsters, predatory animals, etc.)
[f/v]E: vehicles
[f/v]I: flying (various aircraft)
[f/v]O: foes (various enemies, villains, etc.)
boo: Boondocks?
ba: battle (war theme)
be:
bi: building (construction)
bo: botany
bu: bugs
bA: babies (baby theme)
bE: beach
bI: biology
bO:

This is just from my initial brainstorming. Some of my ideas were really bad and will certainly be replaced with something else. All suggestions are welcome. I’m looking for an overall composition of approximately 40% inanimate objects and 60% living objects (people, dinosaurs, cartoons, etc.). As you can see, it’s best to have the category align with the first syllable, but this isn’t essential. It’s more important to have categories that lend themselves to producing 100 unique images. Anyway, I’m really busy with school, but I’ll try to update this list to incorporate suggestions when possible.

For more details on how the system works, you can see my posts here.

I appreciate the help!

-Nick

edit I couldn’t get the tags to work.


(Nicholas Mihaila) #2

So it occurred to me that I’m probably going about this the wrong way. Instead of using phonemes to make categories, I should be starting with the categories and then tweaking their key words (category representations) to fit with the phonemes. This is because the categories themselves are far more important than how they align phonetically with their names. Each category needs to lend itself to 100 unique images, and, roughly speaking, each category needs to be equally specific. For instance, it wouldn’t make sense to have two separate categories for “quadrupeds” and “fungi”.

Anyway, this will be my approach from now on. As before, I’m open to any suggestions. Here’s the list that I just started on (I’ll need 84 equally specific subcategories in total.):

Life/nature:

Quadrupeds
Primates
Rodents
Aquatic, ocean + freshwater
Aquatic, reefs + tide pools
Reptiles
Amphibians
Insects, arachnids, etc.
Plants/fungi
Dinosaurs
Prehistoric/extinct animals (not dinosaurs)
Natural structures/formations
Pets/domesticated animals + supplies

Technology:

Machines (anything that doesn’t fit into any of the below categories)
Robots
Vehicles
Aircraft
Water (boats, subs, etc.)
Combat
Tools
Misc. electronics
Medicine
Gym equipment
Construction equipment
Chemistry (supplies, chemists, etc.)

Culture:

Architecture + artwork
Music (instruments, etc.)
Jewelry + related
Holidays (Christmas, Halloween, etc.)
Sports
Countries
Mythology
Ancient history
Jobs (police officer, fire fighter, etc.)
Parties/festivals
Art supplies
Fashion
Celebrities
Cosplay
Artifacts

Science fiction + related:

Aliens
Machines
Spaceships/aircraft
Superheroes

Entertainment:

Cartoons, child audience
Cartoons, teen/mature audience
Movies, horror + action
Movies, all other genres
Books (Lord of the Rings, etc.)
Games
Baby/toddler toys
Toys (not for babies/toddlers)
Video games
Rides (like those at a carnival)
Anime
Disney + Pixar

Food/culinary:

Prepared/cooked foods (not candy)
Exotic foods
Candy
Cookware + dining
Fruits/vegetables
Cooking ingredients (that don’t fit into any of the above)
Drinks
Junk food (namely fast food)

Household/work:

Hygiene + makeup + related
Office supplies
Furniture + related
Cleaning supplies (vacuums, sprays, etc.)
Clothes

This is very cursory, but I’ll continue to update it as I go.

edit Current subcategory count: 69 (Almost there!)

I may reorganize the life category based on taxonomic class to give more subcategories. Dinosaurs can also be divided further.


(Josh Cohen) #3

I had started a category-based system for a 1,000 image system, but didn’t get that far. Here are some of the categories. Some categories were repeated (like tools). I’m not sure if it will be any help, but here’s the list. It probably would have been revised many times if I had continued with it.

  • ACTION_FIGURES-HEROS
  • AEROSPACE
  • ANCIENT-WAR
  • ANIMALS
  • ARCHAEOLOGY
  • ART
  • ARTIFACTS
  • ARTISTS
  • BIOLOGY
  • BIRDS
  • CARTOONS
  • CIRCUS
  • COLORFUL-ANIMALS
  • COMPUTERS
  • CRAFTS-OR-MYTHOLOGY
  • CULTURES
  • MYTHOLOGY-DEMONS
  • DOMESTIC-ANIMALS
  • EGYPT
  • ELECTRONICS
  • ENERGY-OR-OFFICE_SUPPLIES
  • WORLD-MUSIC
  • EXERCISE
  • FLYING_THINGS
  • FOOD
  • FRUITS
  • GODS
  • HISTORY
  • INDIA
  • JAZZ
  • LITERATURE
  • LOTR
  • MACHINES-OR-STARWARS
  • MARINE
  • MATHEMATICS
  • MATH-SCIENCE
  • MEDICINE
  • MILITARY
  • MONEY-AND-ARTIFACTS
  • MONSTERS-TALES
  • MUSIC
  • MUSICIANS
  • MYTHOLOGY
  • MYTHS
  • MYTHS-FABLES
  • OPERA
  • PLANTS
  • CHINA
  • POLITICS
  • PRESIDENTS-LEADERS
  • RELIGION
  • RULERS
  • RUSSIA
  • SCIENTISTS
  • SHARP-THINGS
  • SPORTS
  • STAR_WARS
  • STRUCTURES
  • SUPERHEROS
  • TASTES
  • TOOLS
  • TOOLS-OR-UNUSUAL-RELIGIONS
  • TOOLS_WOOD
  • UTENSILS
  • WORKERS-JOBS
  • ZODIAC

(Nicholas Mihaila) #4

Thank you, Josh! I think it’ll help a lot. It’s just a matter of ensuring that all the basic categories are covered and that they’re broken down in a logical way. It’s just easy to accidentally exclude a useful category. It’s hard to identify what you don’t know isn’t there. :slight_smile:

Once I reach 84 categories I’ll work on the revision process to try to make each unique and equally specific. I think this first step is the most important as it sets the foundation for everything else. Once I have the categories, the fill-out process will lend itself to lists that I can find though online searches, so hopefully it won’t be too terrible.

I think going through a lot of revisions is inevitable. I know that when I made my image-name associations for the Ben system, the revisions were countless. It was the single most time-consuming project of my life. The time input was absolutely obscene.


(Nicholas Mihaila) #5

Update:

Many edits later, I think I’ve finally managed to outline all the major categories. I currently have about 70 subcategories, and I need 84. The next step will be be to expand the current list by subdividing categories until the total is 84 and each category is approximately equally specific. Also, as I mentioned before, I would like the composition to be about 60% animate, 40% inanimate.