Publication detail

Visual Codebooks Survey for Video On-line Processing

BERAN, V. ZEMČÍK, P.

Original Title

Visual Codebooks Survey for Video On-line Processing

Type

conference paper

Language

English

Original Abstract

This paper explores techniques in the pipeline of image description based on visual codebooks suitable for video on-line processing. The pipeline components are (i) extraction and description of local image features, (ii) translation of each high-dimensional feature descriptor to several most appropriate visual words selected from the discrete codebook and (iii) combination of visual words into bag-of-words using hard or soft assignment weighting scheme. For each component, several state-of-the-art techniques are analyzed and discussed and their usability for video on-line processing is addressed. The experiments are evaluated on the standard Kentucky and Oxford building datasets using image retrieval framework. The results show the impact loosing the pipeline precision in the price of improving the time cost which is crucial for real-time video processing.

Keywords

image retrieval, visual codebook, video processing

Authors

BERAN, V.; ZEMČÍK, P.

RIV year

2010

Released

3. 11. 2010

Publisher

Springer Verlag

Location

Warsaw

ISBN

978-3-642-15909-1

Book

Second International Conference, ICCVG 2010, Proceedings Part 1.

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

6374

Number

1

State

Federal Republic of Germany

Pages from

1

Pages to

10

Pages count

10

URL

BibTex

@inproceedings{BUT35523,
  author="Vítězslav {Beran} and Pavel {Zemčík}",
  title="Visual Codebooks Survey for Video On-line Processing",
  booktitle="Second International Conference, ICCVG 2010, Proceedings Part 1.",
  year="2010",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  volume="6374",
  number="1",
  pages="1--10",
  publisher="Springer Verlag",
  address="Warsaw",
  doi="10.1007/978-3-642-15910-7\{_}1",
  isbn="978-3-642-15909-1",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/9230/"
}