Browsing by Keywords "Face recognition"
Now showing items 1-20 of 20
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Big-data streaming applications scheduling based on staged multi-armed bandits
(Institute of Electrical and Electronics Engineers, 2016)Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to ... -
A face tracking algorithm for user interaction in mobile devices
(IEEE, 2009-09)A new face tracking algorithm, and a human-computer interaction technique based on this algorithm, are proposed for use on mobile devices. The face tracking algorithm considers the limitations of mobile use case - constrained ... -
FAME: Face association through model evolution
(IEEE, 2015-06)We attack the problem of building classifiers for public faces from web images collected through querying a name. The search results are very noisy even after face detection, with several irrelevant faces corresponding to ... -
Finding faces in news photos using both face and name information
(IEEE, 2006)We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a person's face is likely to appear when his/her name is mentioned in the caption, first all the ... -
Finding people frequently appearing in news
(Springer, 2006-07)We propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos and integrates text and face information. Using the ... -
A graph based approach for finding people in news
(Bilkent University, 2007)Along with the recent advances in technology, large quantities of multi-modal data has arisen and became prevalent. Hence, effective and efficient retrieval, organization and analysis of such data constitutes a big ... -
A graph based approach for naming faces in news photos
(I E E E Computer Society, 2006)We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a person's face is likely to appear when his/her name is mentioned in the caption, first all the ... -
Human face detection in video using edge projections
(SPIE, 2006)In this paper, a human face detection method in images and video is presented. After determining possible face candidate regions using color information, each region is filtered by a high-pass filter of a wavelet transform. ... -
Image feature extraction using 2D mel-cepstrum
(IEEE, 2010)In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually ... -
Image feature extraction using compressive sensing
(Springer, 2014)In this paper a new approach for image feature extraction is presented. We used the Compressive Sensing (CS) concept to generate the measurement matrix. The new measurement matrix is different from the measurement matrices ... -
Improvement of face detection algorithms for news videos
(IEEE, 2005)People are the most important subjects in news videos and for proper retrieval of person images, face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due ... -
Labeling of faces in personal photo albums
(IEEE, 2013)In this study, we propose a system for organizing personal photo collections. Motivated with the fact that people related queries are the most desired ones, we propose a method for labeling faces in photographs. After ... -
Mel-and Mellin-cepstral feature extraction algorithms for face recognition
(Oxford University Press, 2011-01-17)In this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum that is widely used in speech recognition is extended to ... -
Mel-cepstral feature extraction methods for image representation
(S P I E - International Society for Optical Engineering, 2010-15-09)An image feature extraction method based on the twodimensional (2-D) mel cepstrum is introduced. The concept of onedimensional mel cepstrum, which is widely used in speech recognition, is extended to 2-D in this article. ... -
Mel-cepstral methods for image feature extraction
(IEEE, 2010)A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article. Feature ... -
Person search made easy
(Springer, Berlin, Heidelberg, 2005)In this study, we present a method to extensively reduce the number of retrieved images and increase the retrieval performance for the person queries on the broadcast news videos. A multi-modal approach which integrates ... -
Rule based segmentation and subject identification using fiducial features and subspace projection methods
(Academy Publisher, 2007)This paper describes a framework for carrying out face recognition on a subset of standard color FERET database using two different subspace projection methods, namely PCA and Fisherfaces. At first, a rule based skin region ... -
Systematic evaluation of face detection algorithms on news videos
(IEEE, 2007)People are the most important subjects in news videos and for proper retrieval of people images; face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due ... -
Two-dimensional Mellin and mel-cepstrum for image feature extraction
(Springer, Dordrecht, 2010)An image feature extraction method based on two-dimensional (2D)Mellin cepstrum is introduced. The concept of one-dimensional (1D) melcepstrum which is widely used in speech recognition is extended to two-dimensions both ... -
Video copy detection using multiple visual cues and MPEG-7 descriptors
(Academic Press, 2010)We propose a video copy detection framework that detects copy segments by fusing the results of three different techniques: facial shot matching, activity subsequence matching, and non-facial shot matching using low-level ...
