Dept. of Comput. Sci. & Inf. Eng., National Taiwan Univ.Ho, Chia-ChiangChia-ChiangHoWEN-HUANG CHENGPan, Ting-JianTing-JianPanJA-LING WU2018-09-102018-09-102003https://www.scopus.com/inward/record.uri?eid=2-s2.0-51449104457&doi=10.1109%2fICICS.2003.1292677&partnerID=40&md5=d080a8477f9e145da7e461235d13dd46http://scholars.lib.ntu.edu.tw/handle/123456789/302011In this paper, a generic user-attention based focus detection framework is developed to capture user focus points for video frames. The proposed framework considers both bottom-up and top-down attentions, and integrates both image-based and video-based visual features for saliency map computation. For efficiency purpose, (he number of adopted features is kept as few as possible. The realized framework is extensible and flexible in integrating more features with a variety of fusion schemes. One application of the proposed framework, the user-assisted spatial resolution reduction, has also been addressed. © 2003 IEEE.application/pdf377804 bytesapplication/pdfImage segmentation; Multimedia signal processing; Signal detection; Bottom-up and top-down; Focus detection; ITS applications; Saliency map; Spatial resolution; User attention; Video frame; Visual feature; Signal processingconference paper10.1109/ICICS.2003.12926772-s2.0-51449104457