science

Macroglossa Visual Search

Macroglossa Visual Search is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Macroglossa Visual Search rather than just read about it. In short: Macroglossa was a visual search engine based on the comparison of images, coming from an Italian Group. The development of the project began in 2009.

Key takeaways

Macroglossa Visual Search belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Macroglossa Visual Search to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Macroglossa Visual Search from memory before moving on to harder problems.

Reference excerpt

Macroglossa was a visual search engine based on the comparison of images, coming from an Italian Group. The development of the project began in 2009. In April 2010 is released the first public alpha. Users can upload photos or images that they are not sure what they are to determine what the images contain. Macroglossa compares images to return search results based on specific search categories. The engine does not use technologies and solutions such as OCR, tags, vocabulary trees. The comparison is directly based on the contents of the image which the user wants to know more. Included features are the categorization of the elements, the ability to search specific portions of the image or start a search from a video file, but the main function is to simulate a digital eye on trying to find similarities of an unknown subject. This technology allows users to pull results from collections of visual content without using tags for search. The visuals can be crowd sourced. In addition, Macroglosssa can also be used as a reverse image search to find orphan works and possible violations of copyright of images. Macroglossa supports all popular image extensions such jpeg, png, bmp, gif and video formats such avi, mov, mp4, m4v, 3gp, wmv, mpeg. Macroglossa enters beta stage in September 2011 and at the same time open to the public the opportunity to use the developed interfaces ( Api for web and mobile applications ) in order to expand the use of the engine in the B2B and B2C fields. Macroglossa becomes a SaaS. API are distributed on three levels : free, basic, and premium. The free API has limited use, but basic and premium do not. The premium API also offers custom services allowing customers to extend and mold the features offered by computer vision. Discontinued as the site is dead since February 2016.

References

External links Official website

Worked examples

Example 1 — a first encounter with Macroglossa Visual Search

Start with the simplest possible case. Write down what Macroglossa Visual Search claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Macroglossa Visual Search before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Macroglossa Visual Search ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Macroglossa Visual Search

In research: Macroglossa Visual Search appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Macroglossa Visual Search in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Macroglossa Visual Search is common in secondary-school and first-year university syllabi. It links to neighbouring topics Image search, Internet search engines, Multimedia, so understanding it makes those chapters shorter.
In everyday life: Look for Macroglossa Visual Search outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Macroglossa Visual Search in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Macroglossa Visual Search means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Macroglossa Visual Search out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Macroglossa Visual Search in simple terms?

Macroglossa was a visual search engine based on the comparison of images, coming from an Italian Group. The development of the project began in 2009.

Why does Macroglossa Visual Search matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Macroglossa Visual Search?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Macroglossa Visual Search.