With the rapid development of Internet technology and intelligent mobile devices, multimodal data in the network is growing rapidly. Different types of multimodal data are growing rapidly on various Internet platforms such as social networking sites, video sites, music platforms and news information. Multimodal data are increasingly fused together to form a complex organizational structure and correlation. Due to the explosive growth of multimodal data, the demand of users for data and the efficiency of data retrieval are also improved.
Sample Chapter(s)
Preface (118 KB)
Components of the Book:
- Head Page
- Copyright
- Preface
- Content
- Chapter 1
Image Automatic An-notation Based on the Similarity of Regions
- Chapter 2
Image Retrieval Based on Region of Interest
- Chapter 3.
Image Retrieval Based on Visual Dictionary and Saliency Region
- Chapter 4
Image Retrieval Based on the Homolographic Block Color Histogram
- Chapter 5
Web Spam Detection Based on Link Diversity and Content Features
- Chapter 6
The Mobile Visual Search Guiding System Based on SIFT
- Chapter 7
Automatic Image An-notation Based on Region Features and WordNet Semantic Similarity
- Chapter 8
A Two-Stage Semantic Matching for Cross-Media Retrieval
- Chapter 9
Cross-Media Retrieval Based on Pseudo-Label Learning and Semantic Consistency Algorithm
- Chapter 10
Cross-Media Semantic Matching Based on
Sparse Representation
- Chapter 11
Combination Subspace Graph Learning for Cross-Modal Retrieval
- Chapter 12
Semantic Consistency Cross-Modal Retrieval with Semi-Supervised Graph Regularization
- Chapter 13
Personalized Courses Recommendation System Fusing with Knowledge Graph and Collaborative Filtering
Readership:
Students, academics, teachers and other people attending or interested in Cross-Media Retrieval.
Gongwen Xu, Shandong Jianzhu University
Gongwen Xu, School of Business, Shandong Jianzhu University. Jinan, China.
He was born in Qingdao, Shandong Province, associated professor, master's supervisor, senior member of CCF, concurrently serves as reviewer and editor of SCI and EI journals. His research interests are e-commerce and artificial intelligence. He was a visiting scholar at Harvard University from April 2019 to August 2020.