![]() © Brenda Petrella Photography.įog has a similar effect only it is amplified because you are effectively inside of a cloud. Mist can also add “MOO-d” to a photo (heheh). The light is diffuse, thereby eliminating harsh shadows and creating more of a balance of the dynamic range of a scene. ![]() If you’ve ever gone out to shoot on a cloudy day, you’ve likely learned that the reason cloudy days are generally favored by photographers is that the sky acts like a giant softbox. Create Moodįog (and its more lightweight sibling: mist) can be a great way to add mood to your photos. 4 Ways to Use Fog in Landscape Compositions 1. In this article, I describe various ways to use fog as a compositional element and also how to deal with some of the challenges involved with photographing fog. But does that mean that a landscape photographer should keep the camera in the bag on dreary, foggy days? I say no.įog or mist can be a great way to elevate your landscape photography compositions. I mean, who doesn’t love a mind-blowing sunset bursting with oranges and purples or an epic mountainscape with dramatic storm clouds overhead and gorgeous flowers in the foreground? I do as much as the next person. To learn more, see the privacy policy.Landscape photographers often prioritize scenes with high saturation, high dynamic range, or contrast. Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. ![]() The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms). ![]()
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