The exponential growth of online videos, along with increasing user involvement in video-
related activities, has been observed as a constant phenomenon during the last decade …

Near-duplicate video retrieval (NDVR) has recently attracted lots of research attention due to
the exponential growth of online videos. It helps in many areas, such as copyright protection …

Near-duplicate video retrieval (NDVR) has recently attracted much research attention due to
the exponential growth of online videos. It has many applications, such as copyright …

Emerging Internet services and applications attract increasing users to involve in diverse
video-related activities, such as video searching, video downloading, video sharing and so …

Hash-based methods achieve fast similarity search by representing high-dimensional data
with compact binary codes. However, both generating binary codes and encoding unseen …

This work addresses the problem of Near-Duplicate Video Retrieval (NDVR). We propose
an efficient video-level NDVR scheme based on deep metric learning that leverages CNN …

Abstract The problem of Near-Duplicate Video Retrieval (NDVR) has attracted increasing
interest due to the huge growth of video content on the Web, which is characterized by high …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

This paper develops a novel framework for efficient large-scale video retrieval. We aim to
find video according to higher level similarities, which is beyond the scope of traditional near …

The creation of media sharing communities has resulted in the astonishing increase of
digital videos, and their wide applications in the domains like online news broadcasting …