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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_3openalex-snapshot
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_4openalex-snapshot
Learning Spatial Context: Using Stuff to Find Things
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_12openalex-snapshot
Movie/Script: Alignment and Parsing of Video and Text Transcription
inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot
On Space-Time Interest Points
inferredcites →https://doi.org/10.1007/s11263-006-9794-4openalex-snapshot
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
inferredcites →https://doi.org/10.1016/0010-0285(82)90007-xopenalex-snapshot
Scene perception: Detecting and judging objects undergoing relational violations
inferredcites →https://doi.org/10.1023/a:1023052124951openalex-snapshot
Contextual Priming for Object Detection
inferredcites →https://doi.org/10.1023/b:visi.0000027790.02288.f2openalex-snapshot
Scale & Affine Invariant Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2007.383331openalex-snapshot
Objects in Action: An Approach for Combining Action Understanding and Object Perception
inferredcites →https://doi.org/10.1109/cvpr.2007.383487openalex-snapshot
Hierarchical Recognition of Human Activities Interacting with Objects
inferredcites →https://doi.org/10.1109/cvpr.2008.4587756openalex-snapshot
Learning realistic human actions from movies
inferredcites →https://doi.org/10.1109/iccv.1999.791201openalex-snapshot
Exploiting human actions and object context for recognition tasks
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2007.4408865openalex-snapshot
A Scalable Approach to Activity Recognition based on Object Use
inferredcites →https://doi.org/10.1109/iccv.2007.4408872openalex-snapshot
What, where and who? Classifying events by scene and object recognition
inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-snapshot
Recognizing human actions: a local SVM approach
inferredcites →https://doi.org/10.1109/vspets.2005.1570899openalex-snapshot
Behavior Recognition via Sparse Spatio-Temporal Features
inferredcites →https://doi.org/10.1198/jasa.2003.s269openalex-snapshot
Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
inferredcites →https://doi.org/10.2307/417141openalex-snapshot
WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT Press, 1998. Pp. xxii, 423.
inferredcites →https://doi.org/10.5244/c.20.127openalex-snapshot
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
inferredcites →https://doi.org/10.5244/c.20.92openalex-snapshot
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Continuous dynamic gesture spotting algorithm based on Dempster–Shafer Theory in the augmented reality human computer interaction
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Recognizing Complex Human Activities via Crowd Context
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Semantics of Human Behavior in Image Sequences
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Contextual Action Recognition
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Human Activity Identification in Smart Daily Environments
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Multi-view Regularized Extreme Learning Machine for Human Action Recognition
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Action-Scene Model for Recognizing Human Actions from Background in Realistic Videos
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A Video Tensor Self-descriptor Based on Block Matching
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Action Recognition in Realistic Sports Videos
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Spatio-temporal Object Detection Proposals
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Learning Latent Constituents for Recognition of Group Activities in Video
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Activity Group Localization by Modeling the Relations among Participants
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Linking People in Videos with “Their” Names Using Coreference Resolution
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Pipelining Localized Semantic Features for Fine-Grained Action Recognition
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Assessing the Quality of Actions
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Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos
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Predicting Actions from Static Scenes
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Detecting Social Actions of Fruit Flies
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Fine-Grained Activity Recognition with Holistic and Pose Based Features
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Action Recognition Using Hierarchical Independent Subspace Analysis with Trajectory
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Friendly Faces: Weakly Supervised Character Identification
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Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning
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Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition
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Motion Boundary Trajectory for Human Action Recognition
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Human Action Recognition Based on Oriented Motion Salient Regions
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Improving Human Action Recognition Using Score Distribution and Ranking
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Data Mining for Action Recognition
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Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained Activity Recognition
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Motion Based Foreground Detection and Poselet Motion Features for Action Recognition
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Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries
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Camera Motion and Surrounding Scene Appearance as Context for Action Recognition
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Gaze Control Factors for Natural Human Robot Interaction from Scanpath Comparisons
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Monitoring and Coaching the Use of Home Medical Devices
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Human-Object Interaction Recognition by Modeling Context
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Bag of Graphs with Geometric Relationships Among Trajectories for Better Human Action Recognition
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En Plein Air Visual Agents
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Real-Time Human Action Recognition Using CNN Over Temporal Images for Static Video Surveillance Cameras
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Robot-Centric Activity Recognition ‘in the Wild’
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A Predictive Model for Human Activity Recognition by Observing Actions and Context
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Action Recognition and Human Interaction
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Actionlets and Activity Prediction
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Evaluation of Vision-Based Human Activity Recognition in Dense Trajectory Framework
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Automatic Construction of Action Datasets Using Web Videos with Density-Based Cluster Analysis and Outlier Detection
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Spot On: Action Localization from Pointly-Supervised Proposals
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Encoding Multi-resolution Two-Stream CNNs for Action Recognition
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Intermediate Semantics Based Distance Metric Learning for Video Annotation and Similarity Measurements
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Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision
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Exploiting Local Feature Fusion for Action Recognition
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Accelerating Large-Scale Human Action Recognition with GPU-Based Spark
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Motion Representation with Acceleration Images
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Leveraging Multi-modal Analyses and Online Knowledge Base for Video Aboutness Generation
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Stacked Overcomplete Independent Component Analysis for Action Recognition
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Actions Recognition in Crowd Based on Coarse-to-Fine Multi-object Tracking
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Deep Saliency: Prediction of Interestingness in Video with CNN
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Saliency Prediction for Action Recognition
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A Study of Action Recognition Problems: Dataset and Architectures Perspectives
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Similarity Performance of Keyframes Extraction on Bounded Content of Motion Histogram
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Fusion of Single View Soft k-NN Classifiers for Multicamera Human Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-15549-9_36openalex-snapshot
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-15549-9_39openalex-snapshot
Modeling the Temporal Extent of Actions
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Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification
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Activities as Time Series of Human Postures
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Convolutional Learning of Spatio-temporal Features
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A New Spatio-temporal JND Model based on 3D Pyramid Decomposition
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Generative Group Activity Analysis with Quaternion Descriptor
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Pursuing Atomic Video Words by Information Projection
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Automatic Video Activity Recognition
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There Is More Than One Way to Get Out of a Car: Automatic Mode Finding for Action Recognition in the Wild
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On Importance of Interactions and Context in Human Action Recognition
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Event Recognition Based on a Local Space-Time Interest Points and Self-Organization Feature Map Method
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Color-Aware Local Spatiotemporal Features for Action Recognition
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Sequential Deep Learning for Human Action Recognition
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Recognizing Complex Events in Real Movies by Audio Features
inferred← citeshttps://doi.org/10.1007/978-3-642-33709-3_49openalex-snapshot
Scene Aligned Pooling for Complex Video Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-33709-3_60openalex-snapshot
Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-33715-4_31openalex-snapshot
Trajectory-Based Modeling of Human Actions with Motion Reference Points
inferred← citeshttps://doi.org/10.1007/978-3-642-33718-5_11openalex-snapshot
Script Data for Attribute-Based Recognition of Composite Activities
inferred← citeshttps://doi.org/10.1007/978-3-642-33718-5_9openalex-snapshot
Combining Per-frame and Per-track Cues for Multi-person Action Recognition
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Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements
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Atomic Action Features: A New Feature for Action Recognition
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Statistics of Pairwise Co-occurring Local Spatio-temporal Features for Human Action Recognition
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Visual Code-Sentences: A New Video Representation Based on Image Descriptor Sequences
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Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions
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Retrieving Actions in Group Contexts
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Human Focused Action Localization in Video
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A Tree-Based Approach to Integrated Action Localization, Recognition and Segmentation
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A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition
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Human Interaction Recognition by Motion Decoupling
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Human Action Recognition Using Temporal Segmentation and Accordion Representation
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Spatio-temporal Human Body Segmentation from Video Stream
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JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems
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Human Interaction Recognition by Spatial Structure Models
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A Sparse Pyramid Pooling Strategy
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Selected Space-Time Based Methods for Action Recognition
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Video Editor for Annotating Human Actions and Object Trajectories
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Recognizing Human Activities in Videos Using Improved Dense Trajectories over LSTM
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MHAD: Multi-Human Action Dataset
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Action Recognition Using 3D CNN and LSTM for Video Analytics
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An Efficient Action Recognition Framework Based on ELM and 3D CNN
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Exploiting Video Classification Using Deep Learning Models for Human Activity Recognition
inferred← citeshttps://doi.org/10.1007/978-981-287-167-1_3openalex-snapshot
Unsupervised Trees for Human Action Search
inferred← citeshttps://doi.org/10.1007/978-981-95-7130-7_3openalex-snapshot
Spatiotemporal Trajectory
inferred← citeshttps://doi.org/10.1007/978-981-96-5761-2_8openalex-snapshot
SmartClassVue: Video-Based Automated Student Behavior Monitoring in Offline Classrooms
inferred← citeshttps://doi.org/10.1007/978-981-96-5955-5_51openalex-snapshot
Challenges in Real-Time Human Activity Recognition: A Comprehensive Review Report
inferred← citeshttps://doi.org/10.1007/978-981-96-7134-2_42openalex-snapshot
Machine Learning-Driven Activity Monitoring System for Fall Detection
inferred← citeshttps://doi.org/10.1007/978-981-99-5180-2_35openalex-snapshot
Drone Watch: A Novel Dataset for Violent Action Recognition from Aerial Videos
inferred← citeshttps://doi.org/10.1007/978-981-99-8429-9_10openalex-snapshot
HFGCN-Based Action Recognition System for Figure Skating
inferred← citeshttps://doi.org/10.1007/s00138-012-0450-4openalex-snapshot
Recognizing 50 human action categories of web videos
inferred← citeshttps://doi.org/10.1007/s00138-013-0514-0openalex-snapshot
Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos
inferred← citeshttps://doi.org/10.1007/s00138-013-0521-1openalex-snapshot
Human interaction categorization by using audio-visual cues
inferred← citeshttps://doi.org/10.1007/s00138-013-0545-6openalex-snapshot
Action recognition using 3D DAISY descriptor
inferred← citeshttps://doi.org/10.1007/s00138-016-0768-4openalex-snapshot
Collecting and annotating the large continuous action dataset
inferred← citeshttps://doi.org/10.1007/s00138-016-0801-7openalex-snapshot
Directional coherence-based spatiotemporal descriptor for object detection in static and dynamic scenes
inferred← citeshttps://doi.org/10.1007/s00138-017-0830-xopenalex-snapshot
Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures
inferred← citeshttps://doi.org/10.1007/s00371-015-1066-2openalex-snapshot
A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector
inferred← citeshttps://doi.org/10.1007/s00371-015-1090-2openalex-snapshot
Action recognition by learning temporal slowness invariant features
inferred← citeshttps://doi.org/10.1007/s00500-014-1384-8openalex-snapshot
Learning topic of dynamic scene using belief propagation and weighted visual words approach
inferred← citeshttps://doi.org/10.1007/s00521-020-05415-3openalex-snapshot
A part-based spatial and temporal aggregation method for dynamic scene recognition
inferred← citeshttps://doi.org/10.1007/s00521-020-05587-yopenalex-snapshot
Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students’ behaviors in classroom scenes
inferred← citeshttps://doi.org/10.1007/s00521-021-06781-2openalex-snapshot
InstaIndoor and multi-modal deep learning for indoor scene recognition
inferred← citeshttps://doi.org/10.1007/s00521-022-07937-4openalex-snapshot
Toward human activity recognition: a survey
inferred← citeshttps://doi.org/10.1007/s00530-015-0456-7openalex-snapshot
A fast recognition algorithm for suspicious behavior in high definition videos
inferred← citeshttps://doi.org/10.1007/s00530-015-0474-5openalex-snapshot
Recognizing human actions by two-level Beta process hidden Markov model
inferred← citeshttps://doi.org/10.1007/s00530-016-0514-9openalex-snapshot
Automatic group activity annotation for mobile videos
inferred← citeshttps://doi.org/10.1007/s00530-017-0535-zopenalex-snapshot
Multi-modal video event recognition based on association rules and decision fusion
inferred← citeshttps://doi.org/10.1007/s00530-019-00635-7openalex-snapshot
Recent evolution of modern datasets for human activity recognition: a deep survey
inferred← citeshttps://doi.org/10.1007/s00530-021-00875-6openalex-snapshot
Towards a multimodal human activity dataset for healthcare
inferred← citeshttps://doi.org/10.1007/s10044-012-0274-xopenalex-snapshot
A new invariant descriptor for action recognition based on spherical harmonics
inferred← citeshttps://doi.org/10.1007/s10044-013-0349-3openalex-snapshot
Robust relative attributes for human action recognition
inferred← citeshttps://doi.org/10.1007/s10044-021-01054-zopenalex-snapshot
Action recognition by key trajectories
inferred← citeshttps://doi.org/10.1007/s10044-024-01378-6openalex-snapshot
Demsasa: micro-video scene classification based on denoising multi-shots association self-attention
inferred← citeshttps://doi.org/10.1007/s10209-018-0634-4openalex-snapshot
CineAD: a system for automated audio description script generation for the visually impaired
inferred← citeshttps://doi.org/10.1007/s10462-018-9651-1openalex-snapshot
Video benchmarks of human action datasets: a review
inferred← citeshttps://doi.org/10.1007/s10462-023-10429-zopenalex-snapshot
A comprehensive study of automatic video summarization techniques
inferred← citeshttps://doi.org/10.1007/s10462-024-10934-9openalex-snapshot
A survey of video-based human action recognition in team sports
inferred← citeshttps://doi.org/10.1007/s10586-021-03346-9openalex-snapshot
Semantic features and high-order physical features fusion for action recognition
inferred← citeshttps://doi.org/10.1007/s10618-025-01129-zopenalex-snapshot
Spatiotemporal attention-based real-time video watermarking
inferred← citeshttps://doi.org/10.1007/s10845-023-02152-xopenalex-snapshot
Fine-grained activity classification in assembly based on multi-visual modalities
inferred← citeshttps://doi.org/10.1007/s10845-024-02518-9openalex-snapshot
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition
inferred← citeshttps://doi.org/10.1007/s11042-010-0643-7openalex-snapshot
Event detection and recognition for semantic annotation of video
inferred← citeshttps://doi.org/10.1007/s11042-014-1924-3openalex-snapshot
Sequential Markov random fields for human body parts tracking
inferred← citeshttps://doi.org/10.1007/s11042-014-1984-4openalex-snapshot
VSD, a public dataset for the detection of violent scenes in movies: design, annotation, analysis and evaluation
inferred← citeshttps://doi.org/10.1007/s11042-015-2536-2openalex-snapshot
A survey on aggregating methods for action recognition with dense trajectories
inferred← citeshttps://doi.org/10.1007/s11042-015-2550-4openalex-snapshot
Learning motion and content-dependent features with convolutions for action recognition
inferred← citeshttps://doi.org/10.1007/s11042-015-2719-xopenalex-snapshot
Exploiting stereoscopic disparity for augmenting human activity recognition performance
inferred← citeshttps://doi.org/10.1007/s11042-015-2876-yopenalex-snapshot
A bag-of-regions representation for video classification
inferred← citeshttps://doi.org/10.1007/s11042-015-3008-4openalex-snapshot
Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition
inferred← citeshttps://doi.org/10.1007/s11042-016-3393-3openalex-snapshot
Learning discriminative context models for concurrent collective activity recognition
inferred← citeshttps://doi.org/10.1007/s11042-016-3789-0openalex-snapshot
Action recognition with spatio-temporal augmented descriptor and fusion method
inferred← citeshttps://doi.org/10.1007/s11042-016-4168-6openalex-snapshot
A robust and low-cost video fingerprint extraction method for copy detection
inferred← citeshttps://doi.org/10.1007/s11042-017-4384-8openalex-snapshot
Evaluation of regularized multi-task leaning algorithms for single/multi-view human action recognition
inferred← citeshttps://doi.org/10.1007/s11042-017-4796-5openalex-snapshot
Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia
inferred← citeshttps://doi.org/10.1007/s11042-017-4980-7openalex-snapshot
Human action and event recognition using a novel descriptor based on improved dense trajectories
inferred← citeshttps://doi.org/10.1007/s11042-017-5179-7openalex-snapshot
Extracting hierarchical spatial and temporal features for human action recognition
inferred← citeshttps://doi.org/10.1007/s11042-017-5438-7openalex-snapshot
Video scene analysis: an overview and challenges on deep learning algorithms
inferred← citeshttps://doi.org/10.1007/s11042-018-5626-0openalex-snapshot
A hierarchical representation for human action recognition in realistic scenes
inferred← citeshttps://doi.org/10.1007/s11042-018-5657-6openalex-snapshot
Open-view human action recognition based on linear discriminant analysis
inferred← citeshttps://doi.org/10.1007/s11042-018-5833-8openalex-snapshot
MMA: a multi-view and multi-modality benchmark dataset for human action recognition
inferred← citeshttps://doi.org/10.1007/s11042-018-7032-zopenalex-snapshot
An in-depth evaluation framework for spatio-temporal features
inferred← citeshttps://doi.org/10.1007/s11042-019-08225-5openalex-snapshot
A blind video watermarking algorithm robust to lossy video compression attacks based on generalized Newton complex map and contourlet transform
inferred← citeshttps://doi.org/10.1007/s11042-019-08501-4openalex-snapshot
A cascaded CNN model for multiple human tracking and re-localization in complex video sequences with large displacement
inferred← citeshttps://doi.org/10.1007/s11042-019-08535-8openalex-snapshot
Detecting action-relevant regions for action recognition using a three-stage saliency detection technique
inferred← citeshttps://doi.org/10.1007/s11042-020-09004-3openalex-snapshot
Vision-based human activity recognition: a survey
inferred← citeshttps://doi.org/10.1007/s11042-021-11188-1openalex-snapshot
Towards a deep human activity recognition approach based on video to image transformation with skeleton data
inferred← citeshttps://doi.org/10.1007/s11042-022-13792-1openalex-snapshot
Weakly supervised coarse-to-fine learning for human action segmentation in HCI videos
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