Learning-based local visual representation and indexing
Learning-Based Local Visual Representation and Indexing , reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most rece...
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Amsterdam, [Netherlands] :
Elsevier
2015.
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Edición: | First edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629581206719 |
Tabla de Contenidos:
- ""Front Cover""; ""Learning-Based Local Visual Representation and Indexing""; ""Copyright""; ""Contents""; ""Preface""; ""List of Figures""; ""List of Tables""; ""List of Algorithms""; ""Chapter 1: Introduction""; ""1.1 Background and Significance""; ""1.2 Literature Review of the Visual Dictionary""; ""1.2.1 Local Interest-Point Extraction""; ""1.2.2 Visual-Dictionary Generation and Indexing ""; ""1.3 Contents of This Book""; ""Chapter 2: Interest-Point Detection: Beyond Local Scale""; ""2.1 Introduction""; ""2.2 Difference of Contextual Gaussians""; ""2.2.1 Local Interest-Point Detection""
- ""2.2.2 Accumulating Contextual Gaussian Difference """"2.3 Mean Shift-Based Localization""; ""2.3.1 Localization Algorithm ""; ""2.3.2 Comparison to Saliency""; ""2.4 Detector Learning""; ""2.5 Experiments""; ""2.5.1 Database and Evaluation Criteria""; ""2.5.2 Detector Repeatability""; ""2.5.3 CASL for Image Search and Classification""; ""2.6 Summary""; ""Chapter 3: Unsupervised Dictionary Optimization""; ""3.1 Introduction""; ""3.2 Density-Based Metric Learning""; ""3.2.1 Feature-Space Density-Field Estimation ""; ""3.2.2 Learning a Metric for Quantization""
- ""3.3 Chain-Structure Recognition """"3.3.1 Chain Recognition in Dictionary Hierarchy""; ""3.4 Dictionary Transfer Learning""; ""3.4.1 Cross-database Case""; ""3.4.2 Incremental Transfer""; ""3.5 Experiments""; ""3.5.1 Quantitative results""; ""3.6 Summary""; ""Chapter 4: Supervised Dictionary Learning via Semantic Embedding ""; ""4.1 Introduction""; ""4.2 Semantic Labeling Propagation""; ""4.2.1 Density Diversity Estimation ""; ""4.3 Supervised Dictionary Learning""; ""4.3.1 Generative Modeling ""; ""4.3.2 Supervised Quantization ""; ""4.4 Experiments""
- ""4.4.1 Database and Evaluations""""4.4.2 Quantitative Results""; ""4.5 Summary""; ""Chapter 5: Visual Pattern Mining""; ""5.1 Introduction""; ""5.2 Discriminative 3D Pattern Mining""; ""5.2.1 The Proposed Mining Scheme""; ""5.2.2 Sparse Pattern Coding""; ""5.3 CBoP for Low Bit Rate Mobile Visual Search""; ""5.4 Quantitative Results""; ""5.4.1 Data Collection""; ""5.4.2 Evaluation Criteria""; ""5.4.3 Baselines""; ""5.4.4 Quantitative Performance""; ""5.5 Conclusion""; ""Conclusions""; ""References""