Discriminative tag learning on YouTube videos with latent sub-tags
Explore this paper's citation graph
- Type
- article
- Published
- 2011-06-20
- Cited by
- 46
- References
- 27
- OpenAlex
- https://openalex.org/W1967664674
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8094757
Keywords
Discriminative model, Computer science, Probabilistic latent semantic analysis, Artificial intelligence, Latent Dirichlet allocation
References
- Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
- Sound Retrieval and Ranking Using Sparse Auditory Representations
- Harvesting large-scale weakly-tagged image databases from the web
- Large-scale content-based audio retrieval from text queries
- Finding meaning on YouTube: Tag recommendation and category discovery
- Video suggestion and discovery for youtube: taking random walks through the view graph
- Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora
- Reading between the lines: Object localization using implicit cues from image tags
- Semantic texton forests for image categorization and segmentation
- Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
- ImageNet: A large-scale hierarchical image database
- Learning from Candidate Labeling Sets
- Relevance filtering meets active learning: improving web-based concept detectors
- Scalable Recognition with a Vocabulary Tree
- Robust Real-Time Face Detection
- 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
- Video2Text: Learning to Annotate Video Content
- TubeTagger - YouTube-based Concept Detection
- A Discriminative Latent Model of Image Region and Object Tag Correspondence
- Histograms of oriented gradients for human detection
Cited by
- Discriminative latent variable models for visual recognition
- Museum of Ransom: Towards a system for the aggregation and interpretation of contemporary participatory video as contextual cultural heritage
- Automatic tag correction in videos : an approach based on frequent pattern mining. (Correction automatique d'annotations de vidéos : une approche à base de fouille de motifs fréquents)
- Towards Action Recognition and Localization in Videos with Weakly Supervised Learning
- Modeling video-based anomaly detection using deep architectures: Challenges and possibilities
- Classifying YouTube channels: a practical system
- Visual Learning of Socio-Video Semantics
- Object Instance Sharing by Enhanced Bounding Box Correspondence
- Large-Scale Video Classification with Convolutional Neural Networks
- Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
- Kernel Latent SVM for Visual Recognition
- Handling Uncertain Tags in Visual Recognition
- On using nearly-independent feature families for high precision and confidence
- Latent Maximum Margin Clustering
- Video Event Understanding Using Natural Language Descriptions
- Efficient Large Scale Video Classification
- Learning Subclass Representations for Visually-varied Image Classification
- A data-driven approach for tag refinement and localization in web videos
- Clustered Exemplar-SVM: Discovering sub-categories for visual recognition
- Weakly Supervised Models For Recognizing And Clustering High-level Complex Events In Video
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