Multimedia retrieval plays an indispensable role in big data utilization. Past efforts mainly
focused on single-media retrieval. However, the requirements of users are highly flexible …

In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of
multimodal data. It takes one type of data as the query to retrieve relevant data of another …

We introduce a new large-scale data set of video URLs with densely-sampled object
bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists …

Recently, multi-view representation learning has become a rapidly growing direction in
machine learning and data mining areas. This paper introduces two categories for multi …

The ability to associate images with natural language sentences that describe what is
depicted in them is a hallmark of image understanding, and a prerequisite for applications …

We present a new family of subgradient methods that dynamically incorporate knowledge of
the geometry of the data observed in earlier iterations to perform more informative gradient …

This paper investigates the problem of modeling Internet images and associated text or tags
for tasks such as image-to-image search, tag-to-image search, and image-to-tag search …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

This paper strives to find amidst a set of sentences the one best describing the content of a
given image or video. Different from existing works, which rely on a joint subspace for their …