In recent social media applications, descriptive information is collected through user tagging, such as face recognition, and automatic environment sensing, such as GPS. There are many applications that recognize landmarks using information gathered from GPS data. However, GPS is dependent on the location of the camera, not the landmark. In this research, we propose an automatic landmark tagging scheme using secondary regions to distinguish between similar landmarks. We propose two algorithms: 1) landmark tagging by secondary objects and 2) automatic new landmark recognition. Images of 30 famous landmarks from various public databases were used in our experiment. Results show increments of tagged areas and the improvement of landmark taggin...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
Geographically referenced, or “geo-tagged, ” photo data sets offer tantalizing potential for automat...
In recent social media applications, descriptive information is collected through user tagging, such...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
With smart phone becoming more common in the world, mobile applications will in turn become more ess...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
Large-scale picture retrieval is an important task in computer vision since it is linked to a vari...
High level semantic image recognition and classification is a challenging task and currently is a ve...
High level semantic image recognition and classification is a challenging task and currently is a ve...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
Geographically referenced, or “geo-tagged, ” photo data sets offer tantalizing potential for automat...
In recent social media applications, descriptive information is collected through user tagging, such...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
With smart phone becoming more common in the world, mobile applications will in turn become more ess...
A novel solution to the challenge of automatic image annotation is described. Given an image with GP...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
In this paper, we address the problem of landmark image annotation, defined as the task of automatic...
Large-scale picture retrieval is an important task in computer vision since it is linked to a vari...
High level semantic image recognition and classification is a challenging task and currently is a ve...
High level semantic image recognition and classification is a challenging task and currently is a ve...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
With their rapid growth in recent years, Internet photo collections have become an invaluable reposi...
Geographically referenced, or “geo-tagged, ” photo data sets offer tantalizing potential for automat...