{"title":"A color segmentation scheme for object-based video coding","authors":"N. Herodotou, K. Plataniotis, A. Venetsanopoulos","doi":"10.1109/ADFSP.1998.685688","DOIUrl":null,"url":null,"abstract":"A color segmentation scheme is presented for use in an object-based video coding environment. The proposed technique employs the HSV (hue, saturation, value) color space to partition a video-phone type sequence into a facial area and a set of arbitrarily shaped regions. The facial region is identified by utilizing the a priori knowledge of the skin-tone distributions along with a series of fuzzy shape-based membership functions. The remaining regions are segmented using a recursive 1D histogram thresholding procedure. The technique is robust, computationally inexpensive, and allows for a higher coding efficiency. Furthermore, it may be used to support the content-based functionalities addressed in future object-based coders.","PeriodicalId":424855,"journal":{"name":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADFSP.1998.685688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51
Abstract
A color segmentation scheme is presented for use in an object-based video coding environment. The proposed technique employs the HSV (hue, saturation, value) color space to partition a video-phone type sequence into a facial area and a set of arbitrarily shaped regions. The facial region is identified by utilizing the a priori knowledge of the skin-tone distributions along with a series of fuzzy shape-based membership functions. The remaining regions are segmented using a recursive 1D histogram thresholding procedure. The technique is robust, computationally inexpensive, and allows for a higher coding efficiency. Furthermore, it may be used to support the content-based functionalities addressed in future object-based coders.