Socializing the semantic gap: A comparative survey on image tag assignment, refinement, and retrieval
Where previous reviews on content-based image retrieval emphasize what can be seen in
an image to bridge the semantic gap, this survey considers what people tag about an image …
an image to bridge the semantic gap, this survey considers what people tag about an image …
Multimedia search reranking: A literature survey
The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …
on the Internet have led to a surge of research activity in multimedia search. Approaches that …
Multi-modal knowledge graph construction and application: A survey
Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
Novel visual and statistical image features for microblogs news verification
Microblog has been a popular media platform for reporting and propagating news. However,
fake news spreading on microblogs would severely jeopardize its public credibility. To …
fake news spreading on microblogs would severely jeopardize its public credibility. To …
Cross-modal retrieval with CNN visual features: A new baseline
Recently, convolutional neural network (CNN) visual features have demonstrated their
powerful ability as a universal representation for various recognition tasks. In this paper …
powerful ability as a universal representation for various recognition tasks. In this paper …
3-D object retrieval and recognition with hypergraph analysis
View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …
computer aided design. It is difficult to precisely estimate the distance between two objects …
Visual-textual joint relevance learning for tag-based social image search
Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …
dedicated to tag-based social image search. Both visual information and tags have been …
Adaptive hypergraph learning and its application in image classification
Recent years have witnessed a surge of interest in graph-based transductive image
classification. Existing simple graph-based transductive learning methods only model the …
classification. Existing simple graph-based transductive learning methods only model the …
Multimodal graph-based reranking for web image search
This paper introduces a web image search reranking approach that explores multiple
modalities in a graph-based learning scheme. Different from the conventional methods that …
modalities in a graph-based learning scheme. Different from the conventional methods that …
Multi-graph heterogeneous interaction fusion for social recommendation
With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …
have been proposed. Unlike traditional recommendation system, social recommendation …