A Novel Rate Control Framework for SIFT/SURF Feature Preservation in H.264/AVC Video Compression

This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference sof...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Jianshu Chao [verfasserIn]

Huitl, Robert

Steinbach, Eckehard

Schroeder, Damien

Format:

Artikel

Sprache:

Englisch

Erschienen:

2015

Schlagwörter:

Bag-of- Features

SURF

Evaluation

gradient based features

SIFT/SURF feature preservation

novel rate control framework

gradient methods

data compression

Video sequences

SIFT

real image retrieval system

Bit rate

bag-of-features concept

feature extraction

Detectors

Visualization

Vectors

feature preservation

H.264/AVC video compression

Image coding

JM reference software

H.264/AVC

quantization parameters

video coding

Rate control

image retrieval

scale invariant feature transform

Algorithms

Methods

Usage

Übergeordnetes Werk:

Enthalten in: IEEE transactions on circuits and systems for video technology - New York, NY : Institute of Electrical and Electronics Engineers, 1991, 25(2015), 6, Seite 958-972

Übergeordnetes Werk:

volume:25 ; year:2015 ; number:6 ; pages:958-972

Links:

Volltext
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DOI / URN:

10.1109/TCSVT.2014.2367354

Katalog-ID:

OLC1958933333

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