@article{2622b55122bb40bda2e980404666a186,
title = "Multimedia content analysis",
abstract = "A review is given on recent advances in using audio and visual information jointly for accomplishing multimedia content analysis. Audio and visual features that can effectively characterize scene content are described, and selected algorithms for segmentation and classification are reviewed. Further, audio and visual descriptors and description schemes that are being considered by the MPEG-7 standard for multimedia content description are highlighted.",
author = "Yao Wang and Zhu Liu and Huang, {Jin Cheng}",
note = "Funding Information: We would like to thank Howard Wactlar for providing information regarding CMU{\textquoteright}s Informedia project, Qian Huang for reviewing information regarding AT&T{\textquoteright}s Pictorial Transcript project, Rainer Lienhart for exchanging information regarding the MoCA project, Riccardo Leonardi for providing updated information regarding their research, and Philippe Salembier, Adam Lindsay, and B.S. Manjunath for providing information regarding MPEG-7 audio and visual descriptors and description schemes. This work was supported in part by the National Science Foundation through its STIMULATE program under Grant IRI-9619114.",
year = "2000",
month = nov,
doi = "10.1109/79.888862",
language = "English (US)",
volume = "17",
pages = "12--36",
journal = "IEEE Signal Processing Magazine",
issn = "1053-5888",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",
}