Extracting coarse boundary features for video processing
Proceedings. IEEE International Conference on Multimedia and Expo - Tập 2 - Trang 65-68 vol.2
Tóm tắt
We present a method to extract coarse boundary features from discrete cosine transform (DCT) compressed blocks. Video sequences usually contain enormous data for video processing. Decompressing data and then processing uncompressed data is computational intensive. Moreover, this may yield erroneous results due to processing unnecessary data. Our goal is to extract coarse boundary features without decompressing original data, and then to eliminate insignificant blocks for decompressing. The extracted features provide information about the smoothness, the boundary visibility, and the boundary structure of a block. We give an application of using coarse features for video object segmentation.
Từ khóa
#Feature extraction #Discrete cosine transforms #Data mining #Video compression #Transform coding #Object segmentation #Image edge detection #Video sequences #MPEG 4 Standard #Computer scienceTài liệu tham khảo
arman, 1993, Image processing on compressed data for large video databases, Proc ACM Int Con Multimedia June
ngo, 2000, Exploiting image indexing techniques in dct domain, Pattem Recognition
10.1109/76.554415
10.1109/TPAMI.1986.4767851
kim, 2000, An integrated scheme for objectbased video abstraction, ACM October, 303
10.1109/ICIP.1998.723610
shen, 1996, Direct feature extraction from compressed images, Proc SPIE Conf on Storage & Retrieval for Image and Video Databases, 2670, 10.1117/12.234779
10.1007/BF00133570