@inproceedings{342aa22f3d0c447dafcc06f6c7e05d10,
title = "TV logo recognition based on luminance variance",
abstract = "As the rapid development of intelligent TV, TV logo recognition plays an important role in the applications of video analysis and video retrieval. This paper utilizes the luminance variance information to extract logo mask along a set of consecutive frames. An effect and efficient method, projection distribution histogram intersection (PDHI) is proposed to calculate the similarity of two logos. Experiments are conducted on a large database collected by ourselves, including 57 challenging standard definition (SD) and 10 high definition (HD) TV channels, the results are promising.",
keywords = "Logo recognition, Logo segmentation, TV logo",
author = "Linlin Shen and Wenfeng Wu and Songhao Zheng",
year = "2012",
doi = "10.1049/cp.2012.2376",
language = "English",
isbn = "9781849196413",
series = "IET Conference Publications",
number = "636 CP",
booktitle = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012",
edition = "636 CP",
note = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 ; Conference date: 07-12-2012 Through 09-12-2012",
}