computer science

Picollator

Picollator is a computer 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 Picollator rather than just read about it. In short: Picollator is an Internet search engine that performs searches for web sites and multimedia by visual query (image) or text, or a combination of visual query and text. Picollator recognizes objects in the image, obtains their relevance to the text and vice versa, and searches in accordance with all information provided.

Key takeaways

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

Reference excerpt

Picollator is an Internet search engine that performs searches for web sites and multimedia by visual query (image) or text, or a combination of visual query and text. Picollator recognizes objects in the image, obtains their relevance to the text and vice versa, and searches in accordance with all information provided.

Description Picollator identifies human faces in the images and creates a database of people's faces. This allows the user to search for other images of the submitted person, lookalikes and/or similar images in images found on websites. Picollator can be used in any language.

History 2006 – Recogmission LLC developed a desktop application for photo collections management. The system automatically classifies, manages and retrieves photographs stored locally or in corporate databases. 2007 – Recogmission started Picollator multimedia search engine project, now in Beta stage. 2008 – Picollator.mobi is launched—a new universal search engine for mobile phones. 2009 – Recogmission opens the web based content filter service piFilter.com, which inherited some pattern recognition technologies from Picollator.

Features Most image search engines match user textual query and picture tags. Picollator is based on a different approach. Patterns and objects found in the image are stored in its database, therefore it is able to recognise the contents of the image and compare it to other images to find similarities.

To search for multimedia information, the user may submit

Sample image to find images with relevant people Image to find web resources Text to find images Text to find web resources Text and Image to find images and/or web resources.

Company ru:Recogmission LLC has developed an indexing engine for multimedia information search based on the visual query. Recogmission develops solutions for multimedia information (image, text and video) indexing and searching on the web and in corporate environments.

References Picollator Loves My Girlish Smile, Inside the Marketers Studio - David Berkowitz's Marketing Blog Archived 2008-06-12 at the Wayback Machine. March 20, 2008 Picollator - Image search engine, Phil Bradley's weblog. March 31, 2008 Image-Based Queries, Techpin. March 16, 2008 Picollator: Buscador de rostros, Neoteo Archived 2008-08-20 at the Wayback Machine Picollator Online Search, buscador de caras dentro de las imágenes online, Genbeta Archived 2008-07-09 at the Wayback Machine. March 26, 2008 Picollator:基于脸部特征的图片搜索引擎, 天涯海阁 Archived 2008-08-05 at the Wayback Machine Picollator - Gesichter suchen mit Bildvorlagen, @-web Suchmaschinen Weblog. July 21, 2008 Picollator sucht Menschen mithilfe von Gesichtserkennung, Internet World Business Archived 2008-10-04 at the Wayback Machine. July 22, 2008 Sketch based query for image retrieval, Kmvirtual Archived 2009-03-01 at the Wayback Machine. May 30, 2008 Picollator - текстовый или визуальный поиск?, Стартаперы.ru Picollator ищет похожих людей, Новости Медиа Атлас Archived 2011-10-02 at the Wayback Machine. March 3, 2008 Picollator - Οπτική αναζήτηση… περίπου :), Internetakias.gr Archived 2008-10-02 at the Wayback Machine. April 7, 2008 Доступны мультимедийные запросы в новой поисковой системе Picollator, ITua.info. March 14, 2008 Как найти человека по рисунку лица?, Newsland Всевидящее око онлайна, Игромания. July, 2008 Microsoft поднимет долю программ в ВВП, OSP.ru July 1, 2008 Система поиска по мультимедийным запросам, Мониторинг Интернета. April 7, 2008 В Рунете запущена система мультимедийного поиска Picollator.ru, Elvisti.com. April 13, 2008 Мультимедийный поиск становится интеллектуальным, Rocit.ru Archived 2016-03-06 at the Wayback Machine. July 2, 2008 В Рунете появилась система поиска похожих картинок, Eplus.com.ua Archived 2008-07-25 at the Wayback Machine. March 11, 2008 Ресурсы в сети можно искать с помощью изображений, Commcenter.ru. March 29, 2008

Worked examples

Example 1 — a first encounter with Picollator

Start with the simplest possible case. Write down what Picollator claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Picollator 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 Picollator 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 Picollator

In research: Picollator appears in computer 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 Picollator 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: Picollator is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data mining and machine learning software, Facial recognition software, Internet search engines, so understanding it makes those chapters shorter.
In everyday life: Look for Picollator 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 Picollator in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Picollator 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 Picollator out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Picollator in simple terms?

Why does Picollator matter?

Because it connects several computer 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 Picollator?

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 Picollator.