Montenegro et al., 2017 - Google Patents
Emotion understanding using multimodal information based on autobiographical memories for Alzheimer's patientsMontenegro et al., 2017
View PDF- Document ID
- 14173723659020680356
- Author
- Montenegro J
- Gkelias A
- Argyriou V
- Publication year
- Publication venue
- Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I 13
External Links
Snippet
Alzheimer Disease (AD) early detection is considered of high importance for improving the quality of life of patients and their families. Amongst all the different approaches for AD detection, significant work has been focused on emotion analysis through facial …
- 230000015654 memory 0 title description 10
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
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