Hashing has attracted increasing research attention in recent years due to its high efficiency
of computation and storage in image retrieval. Recent works have demonstrated the …

Hashing methods have been widely used for approximate nearest neighbor search in recent
years due to its computational and storage effectiveness. Most existing multimodal hashing …

Large-scale face identification or 1-to-N matching where N is huge, plays a vital role in
biometrics and surveillance. The system demands accurate and speedy matching where …

Hashing methods have been widely used in Approximate Nearest Neighbor (ANN) search
for big data due to low storage requirements and high search efficiency. These methods …

Learning-based hashing has been researched extensively in the past few years due to its
great potential in fast and accurate similarity search among huge volumes of multimedia …

Touch-stroke dynamics is an emerging biometrics which captures a user's unique way of
swiping a set of “strokes” on the mobile devices, and uses them as a matching template …

Despite a variety of theoretical-sound techniques have been proposed to generate
cancellable biometric templates, there is rarely practical solution that satisfies non …

Image retrieval is a long-standing topic in the multimedia community due to its various
applications, eg, product search and artworks retrieval in museum. The regions in images …

Learning to hash is receiving increasing research attention due to its effectiveness in
addressing the large-scale similarity search problem. Most of the existing hashing …

Among different biometric modalities, face is becoming a hot research topic due to its
distinctive advantages, such as non-intrusive, friendliness, contact-less, and convenience …