Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Visual Information Management System for the Interactive Retrieval of Faces
IEEE Transactions on Knowledge and Data Engineering
LOCO-I: a low complexity, context-based, lossless image compression algorithm
DCC '96 Proceedings of the Conference on Data Compression
Multiresolution segmentation-based image coding with hierarchical data structures
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Compression of facial images using the K-SVD algorithm
Journal of Visual Communication and Image Representation
Progressive transmission of vector-quantized images with security and fault-tolerance
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
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A coding method for face images by segmenting face regions such as eyes, mouth, etc. is introduced. Each region is removed from the face image, leaving a smoothly interpolated background which is suitable for efficient compression. Extracted region images are coded using vector quantization. The overall method is found to achieve comparable compression ratios with compatible image coding methods. Furthermore, separate encoding of face segments enables us to achieve speed improvements for a face image retrieval system. Vector quantization of semantically meaningful face regions is observed to supply indexes that correspond to information about face similarities.