Bibliografische Daten

Dokument US000008509549B2 (Seiten: 14)

Bibliografische Daten Dokument US000008509549B2 (Seiten: 14)
INID Kriterium Feld Inhalt
54 Titel TI [EN] Detecting a change between images or in a sequence of images
71/73 Anmelder/Inhaber PA FRAUNHOFER GES FORSCHUNG, DE ; KAUP ANDRE, DE ; SCHOEBERL MICHAEL, DE
72 Erfinder IN KAUP ANDRE, DE ; SCHOEBERL MICHAEL, DE
22/96 Anmeldedatum AD 14.10.2011
21 Anmeldenummer AN 201113273289
Anmeldeland AC US
Veröffentlichungsdatum PUB 13.08.2013
33
31
32
Priorität PRC
PRN
PRD
DE
102009017436
15.04.2009
33
31
32
PRC
PRN
PRD
EP
2010054885
14.04.2010
51 IPC-Hauptklasse ICM G06K 9/36 (2006.01)
51 IPC-Nebenklasse ICS G06K 9/46 (2006.01)
IPC-Zusatzklasse ICA
IPC-Indexklasse ICI
Gemeinsame Patentklassifikation CPC H04N 19/142
H04N 19/146
H04N 19/172
H04N 19/40
H04N 19/48
H04N 19/63
H04N 19/87
MCD-Hauptklasse MCM G06K 9/36 (2006.01)
MCD-Nebenklasse MCS G06K 9/46 (2006.01)
MCD-Zusatzklasse MCA
57 Zusammenfassung 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 Entgegengehaltene Patentdokumente/Zitate,
in Recherche ermittelt
CT US000006449392B1
US000007428338B2
US000007548654B2
US020040113933A1
US020100118956A1
US020100215095A1
56 Entgegengehaltene Patentdokumente/Zitate,
vom Anmelder genannt
CT EP000001329847A1
EP000001548616A2
US020050201624A1
US020050280739A1
56 Entgegengehaltene Nichtpatentliteratur/Zitate,
in Recherche ermittelt
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 Entgegengehaltene Nichtpatentliteratur/Zitate,
vom Anmelder genannt
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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Prüfstoff-IPC ICP G06K 9/36
G06K 9/46