Trigeorgis et al., 2015 - Google Patents
The ICL-TUM-PASSAU approach for the MediaEval 2015" Affective Impact of Movies" taskTrigeorgis et al., 2015
View PDF- Document ID
- 1575279443717395729
- Author
- Trigeorgis G
- Ringeval F
- Marchi E
- Zafeiriou S
- Coutinho E
- Schuller B
- Publication year
External Links
Snippet
In this paper we describe the Imperial College London, Technische Universität München and University of Passau (ICL+ TUM+ PASSAU) team approach to the MediaEval's “Affective Impact of Movies” challenge, which consists in the automatic detection of affective (arousal …
- 230000037007 arousal 0 abstract description 9
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- 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
- G06F17/30799—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 using low-level visual features of the video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00288—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
- G06F17/30595—Relational databases
- G06F17/30598—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Trigeorgis et al. | The ICL-TUM-PASSAU approach for the MediaEval 2015" Affective Impact of Movies" task | |
| US12346827B2 (en) | Generating scene graphs from digital images using external knowledge and image reconstruction | |
| Saha et al. | Deep learning for detecting multiple space-time action tubes in videos | |
| Richard et al. | Temporal action detection using a statistical language model | |
| US9176987B1 (en) | Automatic face annotation method and system | |
| US10986400B2 (en) | Compact video representation for video event retrieval and recognition | |
| US11481563B2 (en) | Translating texts for videos based on video context | |
| Malgireddy et al. | Language-motivated approaches to action recognition | |
| CN106921891A (en) | The methods of exhibiting and device of a kind of video feature information | |
| Ringeval et al. | Emotion recognition in the wild: Incorporating voice and lip activity in multimodal decision-level fusion | |
| Ravì et al. | Real-time food intake classification and energy expenditure estimation on a mobile device | |
| Lam et al. | Evaluation of multiple features for violent scenes detection | |
| Elharrouss et al. | FSC-set: counting, localization of football supporters crowd in the stadiums | |
| CN105760472A (en) | Video retrieval method and system | |
| Thanh et al. | Extraction of discriminative patterns from skeleton sequences for human action recognition | |
| Kächele et al. | Revisiting the EmotiW challenge: how wild is it really? Classification of human emotions in movie snippets based on multiple features | |
| Mukherjee et al. | Recognizing interactions between human performers by ‘Dominating Pose Doublet’ | |
| Abbasnejad et al. | Complex event detection using joint max margin and semantic features | |
| US8611695B1 (en) | Large scale patch search | |
| Hu et al. | Improved YOLOv5-based image detection of cotton impurities | |
| Gao et al. | Automatic detection method of small target in tennis game video based on deep learning | |
| Breier et al. | Analysis of video feature learning in two-stream CNNs on the example of zebrafish swim bout classification | |
| Yang et al. | Visual Skeleton and Reparative Attention for Part-of-Speech image captioning system | |
| Hoang | Multiple classifier-based spatiotemporal features for living activity prediction | |
| Preethi et al. | Video Captioning using Pre-Trained CNN and LSTM |