Semisupervised Segmentation of UHD Video

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F18%3A00494104" target="_blank" >RIV/67985807:_____/18:00494104 - isvavai.cz</a>

Result on the web

<a href="http://ceur-ws.org/Vol-2203/100.pdf" target="_blank" >http://ceur-ws.org/Vol-2203/100.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Semisupervised Segmentation of UHD Video

Original language description

One of the key preprocessing tasks in information retrieveal from video is the segmentation of the scene, primarily its segmentation into foreground objects and the background. This is actually a classification task, but with the specific property that it is very time consuming and costly to obtain human-labelled training data for classifier training. That suggests to use semisupervised classifiers to this end. The presented work in progress reports the investigation of semisupervised classification methods based on cluster regularization and on fuzzy c-means in connection with the foreground / background segmentation task. To classify as many video frames as possible using only a single human-based frame, the semisupervised classification is combined with a frequently used keypoint detector based on a combination of a corner detection method with a visual descriptor method. The paper experimentally compares both methods, and for the first of them, also classifiers with different delays between the human-labelled video frame and classifier training.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA18-18080S" target="_blank" >GA18-18080S: Fusion-Based Knowledge Discovery in Human Activity Data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

8

Pages from-to

100-107

Publisher name

Technical University & CreateSpace Independent Publishing Platform

Place of publication

Aachen

Event location

Plejsy

Event date

Sep 21, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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