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 …

The inconsistency between textual features and visual contents can cause poor image
search results. To solve this problem, click features, which are more reliable than textual …

Semantic video indexing, also known as video annotation or video concept detection in
literatures, has been attracting significant attention in recent years. Due to deficiency of …

Given the difficulty of acquiring labeled examples for many fine-grained visual classes, there
is an increasing interest in zero-shot image tagging, aiming to tag images with novel labels …

An ontology hierarchically encodes concepts and concept relationships, and has a variety of
applications such as semantic understanding and information retrieval. Previous work for …

Image tag relevance estimation aims to automatically determine what people label about
images is factually present in the pictorial content. Different from previous works, which …

Due to the subjective nature of social tagging, measuring the relevance of social tags with
respect to the visual content is crucial for retrieving the increasing amounts of social …

Over the years, the academic researchers have contributed various visual concept
classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large …

In this paper we aim to recognize scenes in images without using any scene images as
training data. Different from attribute based approaches, we do not carefully select the …

Learning video concept detectors from social media sources, such as Flickr images and
YouTube videos, has the potential to address a wide variety of concept queries for video …