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1. (WO2018089221) NEURAL NETWORK-BASED ACTION DETECTION
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Pub. No.: WO/2018/089221 International Application No.: PCT/US2017/059139
Publication Date: 17.05.2018 International Filing Date: 31.10.2017
IPC:
G06K 9/00 (2006.01) ,G06K 9/46 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36
Image preprocessing, i.e. processing the image information without deciding about the identity of the image
46
Extraction of features or characteristics of the image
Applicants:
MICROSOFT TECHNOLOGY LICENSING, LLC [US/US]; One Microsoft Way Redmond, Washington 98052-6399, US
Inventors:
LAN, Cuiling; US
ZENG, Wenjun; US
SONG, Sijie; US
XING, Junliang; US
Agent:
MINHAS, Sandip, S.; US
CHEN, Wei-Chen Nicholas; US
DRAKOS, Katherine J.; US
HINOJOSA, Brianna L.; US
HOLMES, Danielle J.; US
SWAIN, Cassandra T.; US
WONG, Thomas S.; US
CHOI, Daniel; US
HWANG, William C.; US
WIGHT, Stephen A.; US
CHATTERJEE, Aaron C.; US
Priority Data:
201610987537.009.11.2016CN
Title (EN) NEURAL NETWORK-BASED ACTION DETECTION
(FR) DÉTECTION D'ACTIONS BASÉE SUR UN RÉSEAU NEURONAL
Abstract:
(EN) Various implementations of the subject matter described herein relate to a neural network-based action detection. There is provided an action detection scheme using a neural network. The action detection scheme can design and optimize the neural network model based on respective importance of different frames such that frames that are more important or discriminative for action recognition tend to be assigned with higher weights and frames that are less important or discriminative for action recognition tend to be assigned with lower weights.
(FR) Divers modes de réalisation de la présente invention concernent une détection d'actions basée sur un réseau neuronal. L'invention concerne un schéma de détection d'actions utilisant un réseau neuronal. Le schéma de détection d'actions peut concevoir et optimiser le modèle de réseau neuronal sur la base de l'importance respective de différentes trames, de telle sorte que des trames qui sont plus importantes ou discriminantes pour une reconnaissance d'actions tendent à se voir attribuer des poids plus élevés, et des trames qui sont moins importantes ou discriminantes pour une reconnaissance d'actions tendent à se voir attribuer des poids plus bas.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)