Title :
Semi-automatic semantic video object extraction by active contour model
Author :
Lu, Zhitao ; Pearlman, W.A.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
An algorithm to extract the semantic video object in the first frame of a video sequence is proposed. The extracted closed object contour provides an accurate video object model for automatic object extraction in the following frames. Two polygons are input by the user to specify the area in which the object boundary is located. Based on this, edges which belong to the video object of interest are selected by a local object contour model. Then an active contour model (snake) is applied to refine the closed object contour
Keywords :
feature extraction; object recognition; video coding; video signal processing; active contour model; closed object contour; local object contour model; multimedia information; polygons; semantic video object; semantic video object extraction; snake; video sequence; Application software; Computer networks; Data mining; Humans; Image edge detection; Shape; Source coding; Systems engineering and theory; Video sequences; Visual communication;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871445
