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 …
iPrivacy: image privacy protection by identifying sensitive objects via deep multi-task learning
To achieve automatic recommendation of privacy settings for image sharing, a new tool
called iPrivacy (image privacy) is developed for releasing the burden from users on setting …
called iPrivacy (image privacy) is developed for releasing the burden from users on setting …
[KNIHA][B] An introduction to social network data analytics
CC Aggarwal - 2011 - Springer
The advent of online social networks has been one of the most exciting events in this
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …
Transfer learning
SJ Pan - Learning, 2020 - api.taylorfrancis.com
Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …
various real-world applications. However, most existing supervised algorithms work well …
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 …
Q&R: A two-stage approach toward interactive recommendation
Recommendation systems, prevalent in many applications, aim to surface to users the right
content at the right time. Recently, researchers have aspired to develop conversational …
content at the right time. Recently, researchers have aspired to develop conversational …
[KNIHA][B] Mining user generated content
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …
networking sites, the social media shared by users and the associated metadata are …
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
Along with the explosive growth of multimedia data, automatic multimedia tagging has
attracted great interest of various research communities, such as computer vision …
attracted great interest of various research communities, such as computer vision …
Survey on social tagging techniques
Social tagging on online portals has become a trend now. It has emerged as one of the best
ways of associating metadata with web objects. With the increase in the kinds of web objects …
ways of associating metadata with web objects. With the increase in the kinds of web objects …
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly
facilitate image retrieval and management. However, these tags are often imprecise and/or …
facilitate image retrieval and management. However, these tags are often imprecise and/or …