Title :
A low-level approach to semantic classification of mobile multimedia content
Author :
Mariappan, A. ; Igarta, M. ; Taskiran, C. ; Gandhi, B. ; Delp, E.J.
Author_Institution :
Video & Image Process. Laboratary (VIPER), Purdue Univ., West Lafayette, IN, USA
fDate :
Nov. 30 2005-Dec. 1 2005
Abstract :
Pseudo-semantic labeling is a novel approach to organize mobile multimedia content such as images and videos. We have developed low-complexity algorithms to derive labels, such as "indoor/outdoor", "face/not face", that can be run on the mobile device. "Indoor/outdoor" classification is done based on the presence of sky in the images. Skin like pixels are detected based on the color information and if present they are matched to a pre-defined "facetemplate" to detect the presence of faces in images. We have developed an initial framework for finding the degree of blurriness in an image, which can be used for labels like "blurry/not blurry".
Keywords :
face recognition; image classification; image colour analysis; mobile computing; multimedia computing; color information; face detection; facetemplate; indoor-outdoor classification; low-complexity algorithms; mobile device; mobile multimedia content; pseudo-semantic labeling i; semantic classification; skin like pixels;
Conference_Titel :
Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099)
Conference_Location :
London
Print_ISBN :
0-86341-595-4
