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 recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation. Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

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 recent advances in content-based visual search techniques.- Discusses state-of-the-art procedures in learning-based local visual representation.- Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system- Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

This book constitutes the proceedings of the Third CSIG Conference on Emotional Intelligence, CEI 2025, held in Shenzhen, China during December 5-7, 2025.The 21 full papers included in this book were carefully reviewed and selected from 79 submissions. The CEI 2025 conference focused on frontier research topics and the latest technological advances in affective computing and artificial intelligence, highlighting the applications of emotional intelligence across multiple disciplines, domains, and real-world scenarios.

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 recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation. Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

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 recent advances in content-based visual search techniques.- Discusses state-of-the-art procedures in learning-based local visual representation.- Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system- Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

This book constitutes the proceedings of the Third CSIG Conference on Emotional Intelligence, CEI 2025, held in Shenzhen, China during December 5-7, 2025.The 21 full papers included in this book were carefully reviewed and selected from 79 submissions. The CEI 2025 conference focused on frontier research topics and the latest technological advances in affective computing and artificial intelligence, highlighting the applications of emotional intelligence across multiple disciplines, domains, and real-world scenarios.