Huge video archives consisting of news programs, dramas, movies, and Web videos (eg,
YouTube) are available in our daily life. In all these videos, human is usually one of the most …

In the age of data processing, news videos are rich mines of information. After all, the news
are essentially created to convey information to the public. But can we go beyond what is …

Face retrieval in news video has been identified as a challenging task due to the huge
variations in the visual appearance of the human face. Although several approaches have …

We are interested in retrieving video shots or videos containing particular people from a
video dataset. Owing to the large variations in pose, illumination conditions, occlusions …

Videos are often characterized by the human participants, who in turn, are identified by their
faces. We present a completely unsupervised system to index videos through faces. A …

In this paper, a method named histogram intersection metric learning from scene tracks is
proposed for automatic organizing people in videos. We make the following contributions:(i) …

Face indexing and retrieval are basic tasks of search engines. Most current search engines
use text information such as keywords and captions rather than visual content for indexing …

In this paper, we aim to identify and track people in a given video footage. We perform face
detection and recognition, and then use a block matching algorithm to continuously track …

In recent years, different methods have investigated in order to extract effective and
important features in face recognition. Apparent features include the coordinates of faceʼs …

There have recently been many methods proposed for matching face sequences in the field
of face retrieval. However, most of them have proven to be inefficient in large-scale video …