@InProceedings{6952424,
  author = {O. Zoidi and A. Tefas and N. Nikolaidis and I. Pitas},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Iterative Label Propagation on facial images},
  year = {2014},
  pages = {1222-1226},
  abstract = {In this paper a novel method is introduced for propagating person identity labels on facial images in an iterative manner. The proposed method takes into account information about the data structure, obtained through clustering. This information is exploited in two ways: to regulate the similarity strength between the data and to indicate which samples should be selected for label propagation initialization. The proposed method can also find application in label propagation on multiple graphs. The performance of the proposed Iterative Label Propagation (ILP) method was evaluated on facial images extracted from stereo movies. Experimental results showed that the proposed method outperforms state of the art methods either when only one or both video channels are used for label propagation.},
  keywords = {data structures;face recognition;iterative methods;pattern clustering;stereo image processing;iterative label propagation;facial images;person identity label;data structure;pattern clustering;similarity strength;label propagation initialization;ILP method;stereo movies;video channels;Motion pictures;Accuracy;Iterative methods;Clustering algorithms;Data structures;Semantics;Visualization;label propagation;multi-graph label propagation},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925907.pdf},
}

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This information is exploited in two ways: to regulate the similarity strength between the data and to indicate which samples should be selected for label propagation initialization. The proposed method can also find application in label propagation on multiple graphs. The performance of the proposed Iterative Label Propagation (ILP) method was evaluated on facial images extracted from stereo movies. Experimental results showed that the proposed method outperforms state of the art methods either when only one or both video channels are used for label propagation.","keywords":"data structures;face recognition;iterative methods;pattern clustering;stereo image processing;iterative label propagation;facial images;person identity label;data structure;pattern clustering;similarity strength;label propagation initialization;ILP method;stereo movies;video channels;Motion pictures;Accuracy;Iterative methods;Clustering algorithms;Data structures;Semantics;Visualization;label propagation;multi-graph label propagation","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925907.pdf","bibtex":"@InProceedings{6952424,\n author = {O. Zoidi and A. Tefas and N. Nikolaidis and I. Pitas},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Iterative Label Propagation on facial images},\n year = {2014},\n pages = {1222-1226},\n abstract = {In this paper a novel method is introduced for propagating person identity labels on facial images in an iterative manner. The proposed method takes into account information about the data structure, obtained through clustering. This information is exploited in two ways: to regulate the similarity strength between the data and to indicate which samples should be selected for label propagation initialization. The proposed method can also find application in label propagation on multiple graphs. The performance of the proposed Iterative Label Propagation (ILP) method was evaluated on facial images extracted from stereo movies. 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