The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …

The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

In this paper we address issues with image retrieval benchmarking on standard and popular
Oxford 5k and Paris 6k datasets. In particular, annotation errors, the size of the dataset, and …

This paper contributes a new high quality dataset for person re-identification, named" Market-
1501". Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes …

To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on
the bag-of-visual-words (BOW) model, in which local features are quantized into visual …

In the 17 years since the first edition of Fundamentals of Multimedia, the field and
applications of multimedia have flourished and are undergoing evermore rapid growth and …

Asymmetric image retrieval, which typically uses small model for query side and large model
for database server, is an effective solution for resource-constrained scenarios. However …

Sign Language Recognition (SLR) aims at translating the sign language into text or speech,
so as to realize the communication between deaf-mute people and ordinary people. This …

Abstract In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low
discriminative power, so false positive matches occur prevalently. Apart from the information …