During the last decade, the deluge of multimedia data has impacted a wide range of
research areas, including multimedia retrieval, 3D tracking, database management, data …

Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

Hashing is an efficient method for nearest neighbor search in large-scale data space by
embedding high-dimensional feature descriptors into a similarity preserving Hamming …

Recent progress in using long short-term memory (LSTM) for image captioning has
motivated the exploration of their applications for video captioning. By taking a video as a …

Compared with person reidentification, which has attracted concentrated attention, vehicle
reidentification is an important yet frontier problem in video surveillance and has been …

Nearest neighbor search is a problem of finding the data points from the database such that
the distances from them to the query point are the smallest. Learning to hash is one of the …

Cross-modal hashing has sparked much attention in large-scale information retrieval for its
storage and query efficiency. Despite the great success achieved by supervised …

With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …

Similarity search (nearest neighbor search) is a problem of pursuing the data items whose
distances to a query item are the smallest from a large database. Various methods have …

3-D convolutional neural networks (3-D-convNets) have been very recently proposed for
action recognition in videos, and promising results are achieved. However, existing 3-D …