Add to ORKGWe have been developing Name-It, a system that associates faces and names in news videos. First, as the only knowledge source, the system is given news videos which include image sequences and transcripts obtained from audio tracks or closed caption texts. The system can then either infer the name of a given face and output the name candidates, or can locate the faces in news videos by a name. To accomplish this task, the system extracts faces from image sequences and names from transcripts, both of which might correspond to key persons in news topics. The proposed system takes full advantage of advanced image and natural language processing. The image processing contributes to the extraction of face sequences which provide rich information...
Face recognition has recently attracted increasing attention and is beginning to be applied in a var...
Annotating the visual presence of a known person in a video is a hard and costly task, in particular...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
We have been developing Name-It, a system that associates faces and names in news videos. First, as ...
This paper proposes a novel approach to extract meaningful content information from video by collabo...
Recently, there is a strong demand for making use of large amounts of video data efficiently and eff...
We show that a large and realistic face dataset can be built from news photographs and their associa...
Labeling persons appearing in video frames with names detected in a corresponding video transcript h...
It is very desirable for media users to know the names of people in videos. Naming persons who are a...
We present a method for automatically labelling all faces in video archives, such as TV broadcasts, ...
This article investigated the problem of using machine learning algorithms to recognize and identify...
This article investigated the problem of using machine learning algorithms to recognize and identify...
The Informedia Digital Video Library system extracts information from digitized video sources and al...
In this paper, we focus on the problem of automated video annotation. We report on the application o...
In this paper we report on our experiments on linking names and faces as found in images and caption...
Face recognition has recently attracted increasing attention and is beginning to be applied in a var...
Annotating the visual presence of a known person in a video is a hard and costly task, in particular...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...
We have been developing Name-It, a system that associates faces and names in news videos. First, as ...
This paper proposes a novel approach to extract meaningful content information from video by collabo...
Recently, there is a strong demand for making use of large amounts of video data efficiently and eff...
We show that a large and realistic face dataset can be built from news photographs and their associa...
Labeling persons appearing in video frames with names detected in a corresponding video transcript h...
It is very desirable for media users to know the names of people in videos. Naming persons who are a...
We present a method for automatically labelling all faces in video archives, such as TV broadcasts, ...
This article investigated the problem of using machine learning algorithms to recognize and identify...
This article investigated the problem of using machine learning algorithms to recognize and identify...
The Informedia Digital Video Library system extracts information from digitized video sources and al...
In this paper, we focus on the problem of automated video annotation. We report on the application o...
In this paper we report on our experiments on linking names and faces as found in images and caption...
Face recognition has recently attracted increasing attention and is beginning to be applied in a var...
Annotating the visual presence of a known person in a video is a hard and costly task, in particular...
The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variabil...