| 54 |
Title |
TI |
[EN] Detecting a change between images or in a sequence of images |
| 71/73 |
Applicant/owner |
PA |
FRAUNHOFER GES FORSCHUNG, DE
;
KAUP ANDRE, DE
;
SCHOEBERL MICHAEL, DE
|
| 72 |
Inventor |
IN |
KAUP ANDRE, DE
;
SCHOEBERL MICHAEL, DE
|
| 22/96 |
Application date |
AD |
Oct 14, 2011 |
| 21 |
Application number |
AN |
201113273289 |
|
Country of application |
AC |
US |
|
Publication date |
PUB |
Aug 13, 2013 |
33
31
32 |
Priority data |
PRC
PRN
PRD |
DE
102009017436
Apr 15, 2009
|
33
31
32 |
PRC
PRN
PRD |
EP
2010054885
Apr 14, 2010
|
| 51 |
IPC main class |
ICM |
G06K 9/36
(2006.01)
|
| 51 |
IPC secondary class |
ICS |
G06K 9/46
(2006.01)
|
|
IPC additional class |
ICA |
|
|
IPC index class |
ICI |
|
|
Cooperative patent classification |
CPC |
H04N 19/142
H04N 19/146
H04N 19/172
H04N 19/40
H04N 19/48
H04N 19/63
H04N 19/87
|
|
MCD main class |
MCM |
G06K 9/36
(2006.01)
|
|
MCD secondary class |
MCS |
G06K 9/46
(2006.01)
|
|
MCD additional class |
MCA |
|
| 57 |
Abstract |
AB |
[EN] Detecting a change between images is performed more effectively when a measure of change is used for the detection that depends on a length of the code blocks to which the images are individually entropy-encoded, and which are allocated to different sections of the respective image, since the length of these code blocks is also available without decoding. This uses the fact that the length or amount of data of a code block directly depends, in large parts, on the entropy and hence on the complexity of the allocated image section, and that changes between images are, with high probability, also reflected in a change of complexity. |
| 56 |
Cited documents identified in the search |
CT |
US000006449392B1
US000007428338B2
US000007548654B2
US020040113933A1
US020100118956A1
US020100215095A1
|
| 56 |
Cited documents indicated by the applicant |
CT |
EP000001329847A1
EP000001548616A2
US020050201624A1
US020050280739A1
|
| 56 |
Cited non-patent literature identified in the search |
CTNP |
Garbas et al., "Optimized Anisotropic Spatial Transforms forWavelet-Based Scalable Multi-View Video Coding", Proc. SPIE 7257, Visual Communications and Image Processing 2009, Jan. 2009, 72571U-1-72571U-11. 0;
Quast et al., "Spatial Scalable Region of Interest Transcoding of JPEG2000 for Video Surveillance", 2008, IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 203-210. 0
|
| 56 |
Cited non-patent literature indicated by the applicant |
CTNP |
Aach et al., "Bayesian Algorithms for Adaptive Change Detection in Image Sequences Using Markov Random Fields," Signal Processing: Image Communication 7, 1995, pp. 147-160. 1;
Hata et al., "Surveillance System with Mega-Pixel Scalable Transcoder," Visual Communications and Image Processing, 2007, vol. 6508, 12 pages. 1;
Laumer et al., "A Compressed Domain Change Detection Algorithm for RTP Streams in Video Surveillance Applications," MMSP '11, Oct. 17-19, 2011, 6 pages, Hangzhou, China. 1;
Mayer, "Motion Compensated In-band Prediction for Wavelet-based Spatially Scalable Video Coding," IEEE Proceedings, Acoustic, Speech, and Signal Processing, 2003, vol. 3, pp. 73-76. 1;
Official Communication issued in International Patent Application No. PCT/EP2010/054885, mailed on Aug. 16, 2010. 1;
Schöberl et al., "Change Detection in JPEG 2000 Compressed Video," Electronics Letters, Mar. 18, 2010, vol. 46, No. 6, 2 pages. 1;
Tabesh et al., "JPEG2000 and Motion JPEG2000 Content Analysis Using Codestream Length Information," Proceedings of the 2005 Data Compression Conference, 2005, 9 pages. 1;
Tang, "Motion Perception Based Adaptive Quantization for Video Coding," Jan. 2005, 12 pages. 1;
Zargari et al., "Compressed Domain JPEG2000 Image Indexing Method Employing Full Packet Header Information," Content-Based Multimedia Indexing, 2008, pp. 410-416. 1
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Citing documents |
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Determine documents
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Sequence listings |
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Search file IPC |
ICP |
G06K 9/36
G06K 9/46
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