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Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos

Author
SAPIENZA, Michael1 ; CUZZOLIN, Fabio1 ; TORR, Philip H. S2
[1] Department of Computing and Communication Technologies, Oxford Brookes University, Oxford OX33 1HX, United Kingdom
[2] Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
Issue title
Tracking, Detection and Segmentation
Author (monograph)
BOWDEN, R (Editor)1 ; COLLOMOSSE, J (Editor)1 ; MIKOLAJCZYK, K (Editor)1
[1] CVSSP, University of Surrey, Guildford, Surrey, United Kingdom
Source

International journal of computer vision. 2014, Vol 110, Num 1, pp 30-47, 18 p ; ref : 1 p.1/4

ISSN
0920-5691
Scientific domain
Cognition; Computer science
Publisher
Springer, Heidelberg
Publication country
Germany
Document type
Article
Language
English
Author keyword
Action classification Deformable part models Localisation Multiple instance learning Space-time videos
Keyword (fr)
Action Analyse amas Analyse discriminante Annotation Apprentissage supervisé Classification Déformation mécanique Extraction forme Grille Histogramme Information Fisher Invariant Localisation Recherche locale Reconnaissance forme Représentation spatiale Réalité terrain Signal vidéo Vision ordinateur Apprentissage non supervisé Base donnée très grande Reconnaissance objet Sac de mots
Keyword (en)
Action Cluster analysis Discriminant analysis Annotation Supervised learning Classification Mechanical deformation Pattern extraction Grid Histogram Fisher information Invariant Localization Local search Pattern recognition Spatial representation Ground truth Video signal Computer vision Unsupervised learning Very large databases Object recognition Bag of words
Keyword (es)
Acción Analisis cluster Análisis discriminante Anotación Aprendizaje supervisado Clasificación Deformación mecánica Extracción forma Rejilla Histograma Información Fisher Invariante Localización Busca local Reconocimiento patrón Representación espacial Realidad terreno Señal video Visión ordenador Aprendizaje no supervisado Base de datos a gran escala Reconocimiento de objetos Bolsa de palabras
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28892942

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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