2026-09-18T19:13:32Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/49462 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Moulin, Pierre Fedorov, Igor 2014-05-30T16:45:34Z 2014-05-30T16:45:34Z 2014-05 2014-05-30T16:45:34Z 2014-05 Since the advent of the Kinect camera, depth videos have become easily accessible to consumers and researchers, allowing a variety of complex classification tasks to be done more accurately and easily than with RGB videos. The wide use of Kinect has created a need for effective compression algorithms. We present three compression schemes, all evaluated using a classification metric for human activity recognition. The first scheme uses the idea of companding to pre-process the data prior to compressing it with a standard H.264 coder. The second scheme uses a standard H.264 coder and appends additional feature bits to the compressed signal to aid in classification. The third compression scheme also uses a standard H.264 coder and attempts to improve classification performance by learning a mapping between features extracted from compressed videos and features extracted from uncompressed videos. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-04-29T14:00:26Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Fedorov_Igor.tex: 93066 bytes, checksum: 118c16543d8a3338d4e8f22af6dcd70b (MD5) Fedorov_Igor.pdf: 2021342 bytes, checksum: f47d8575a788e59b6fc8301a074c2f95 (MD5) Made available in DSpace on 2014-05-30T16:45:34Z (GMT). No. of bitstreams: 3 Igor_Fedorov.pdf: 2021350 bytes, checksum: fb2edf4d49eef7cddb376aa76b17d667 (MD5) Fedorov_Igor.tex: 93066 bytes, checksum: 118c16543d8a3338d4e8f22af6dcd70b (MD5) license.txt: 4062 bytes, checksum: ceea249a264d5a046fbb6cee88807860 (MD5) http://hdl.handle.net/2142/49462 en Copyright 2014 Igor Fedorov Kinect Depth Video Compression Action Recognition Kinect depth video compression for action recognition text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS