vc.ee.duth.gr/ws

In this application, a methodology is demonstrated that employs word spotting technique to speed up the manual transcription…

Latest Version

Version

0.2

Update

March 17, 2015

Size

405KiB

Developer

vc.ee.duth.gr/ws

Category

Application

Users

Rating

0 ★

Manifest Version

Web Store Status

Extension ID

mhalkngfikplkfockhiookaikajfioce

Languages Support

Bahasa Indonesia
Bahasa Melayu
Deutsch
English
Filipino
Français
Nederlands
Norsk
Tiếng Việt
Türkçe
Català
Dansk
Eesti
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Slovenský
Slovenščina
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čeština
Ελληνικά
Српски
български
русский
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עברית
فارسی‎
मराठी
हिन्दी
বাংলা
ગુજરાતી
தமிழ்
తెలుగు
ಕನ್ನಡ
മലയാളം
ไทย
‫العربية
日本語
한국어

Permissions

Webview
Power
Storage
VideoCapture
Geolocation
PointerLock
System.display
FileSystem:
0: - write
1: - retainEntries
2: - directory
AccessibilityFeatures.read
AccessibilityFeatures.modify

WordSpotting Application

In this application, a methodology is demonstrated that employs word spotting technique to speed up the manual transcription process and reduces the creation cost of training data.

Keyword spotting (KWS) can be defined as the task of identifying locations on a document image which have high probability to contain an instance of a queried word, without explicitly recognizing it.

The main advantage of KWS systems is that they only perform word detection without any training data or any language model, and thus it makes them ideal as recommender system for helping the user transcribe the document.

The major achievement of the current application is the reduction in time expenses required to achieve transcription data which could feed a Handwriting Text Recognition engine in a bootstrapping fashion. The keyword spotting pipeline is coupled with a relevance feedback mechanism which introduces the user in the retrieval loop, thus, improving the final retrieval performance.

Current work is supported by the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 600707 - tranScriptorium.
More details: http://transcriptorium.eu/

Developer: Konstantinos Zagoris (http://www.zagoris.gr)
Visual Computing Group (http://vc.ee.duth.gr/)
National Center for Scientific Research \"Demokritos\" (http://www.demokritos.gr/?lang=en)

Source Manifest.json

{"update_url": "https://clients2.google.com/service/update2/crx", "name": "WordSpotting ", "version": "0.2", "manifest_version": 2, "minimum_chrome_version": "38.0.0.0", "permissions": ["webview", "power", "storage", "videoCapture", "geolocation", "pointerLock", "system.display", { "fileSystem": ["write", "retainEntries", "directory"] }, "accessibilityFeatures.read", "accessibilityFeatures.modify"], "app": { "background": { "scripts": ["js/foam.js", "js/cab.js", "config.js", "background_main.js"] } }, "kiosk_enabled": true, "default_locale": "en", "icons": { "128": "img/128.png" }}

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WordSpotting

In this application, a methodology is demonstrated that employs word spotting technique to speed up the manual transcription…

Latest Version

WordSpotting Application

Source Manifest.json

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