Není k dispozici

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03098983" target="_blank" >RIV/68407700:21230/04:03098983 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

3G Video Compression Method Using Both KLT and VQ

Popis výsledku v původním jazyce

Vector Quantization (VQ) is a strong method for data compression when concerning textures and static images. The usage for example in scientific images (high bit resolution) or in video is still a good challenge. There are several advantageous characteristics like high compression ratio or fast decompression algorithms that apply for the usage in video. Probably the most easy idea of approach to the problematic can be done by using the VQ compression on the video stream formed by "I" frames. Some of theadvantages from the static pictures can be applied on the video-sequence. The VQ codebook is formed by specially designed set of subblocks of the particular frames of the sequence. This approach was researched in precedent experiments and found effective. We decided to extend the compression algorithms with Karhunen-Locve Transform (KLT) to achieve significantly even better results.

Název v anglickém jazyce

3G Video Compression Method Using Both KLT and VQ

Popis výsledku anglicky

Vector Quantization (VQ) is a strong method for data compression when concerning textures and static images. The usage for example in scientific images (high bit resolution) or in video is still a good challenge. There are several advantageous characteristics like high compression ratio or fast decompression algorithms that apply for the usage in video. Probably the most easy idea of approach to the problematic can be done by using the VQ compression on the video stream formed by "I" frames. Some of theadvantages from the static pictures can be applied on the video-sequence. The VQ codebook is formed by specially designed set of subblocks of the particular frames of the sequence. This approach was researched in precedent experiments and found effective. We decided to extend the compression algorithms with Karhunen-Locve Transform (KLT) to achieve significantly even better results.

Druh

A - Audiovizuální tvorba

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2004

Kód důvěrnosti údajů

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

ISBN

—

Místo vydání

Praha

Název nakladatele resp. objednatele

—

Verze

—

Identifikační číslo nosiče

neuvedeno