This article presents a comprehensive review and analysis on image search in the past 20
years, emphasizing the challenges and opportunities brought by the astonishing increase of …

We address the problem of image collection summarization by learning mixtures of
submodular functions. We argue that submodularity is very natural to this problem, and we …

Social image analysis and retrieval is important for helping people organize and access the
increasing amount of user tagged multimedia. Since user tagging is known to be …

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 …

In this article, we exploit the problem of annotating a large-scale image corpus by label
propagation over noisily tagged web images. To annotate the images more accurately, we …

In this paper, we exploit the problem of inferring images' semantic concepts from community-
contributed images and their associated noisy tags. To infer the concepts more accurately …

In this paper, we propose a novel attempt of model-free image annotation which annotates
images by mining their search results. It contains three steps: 1) the search process to …

Social image retrieval is important for exploiting the increasing amounts of amateur-tagged
multimedia such as Flickr images. Since amateur tagging is known to be uncontrolled …

We introduce Fluid Annotation, an intuitive human-machine collaboration interface for
annotating the class label and outline of every object and background region in an image …

With the proliferation of Web 2.0 applications, user-supplied social tags are commonly
available in social media as a means to bridge the semantic gap. On the other hand, the …