Discovering Latent Clusters from Geotagged Beach Images
نویسندگان
چکیده
This paper studies the problem of estimating geographical locations of images. To build reliable geographical estimators, an important question is to find distinguishable geographical clusters in the world. Those clusters cover general geographical regions and are not limited to landmarks. The geographical clusters provide more training samples and hence lead to better recognition accuracy. Previous approaches build geographical clusters using heuristics or arbitrary map grids, and cannot guarantee the effectiveness of the geographical clusters. This paper develops a new framework for geographical cluster estimation, and employs latent variables to estimate the geographical clusters. To solve this problem, this paper employs the recent progress in object detection, and builds an efficient solver to find the latent clusters. The results on beach datasets validate the success of our method.
منابع مشابه
Learning the Latent “Look”: Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images (Supplementary material)
In our main paper in Section 4.1, we show top images for the five discovered topics on the HipsterWars dataset [1] using our method; here, we show the corresponding top images for the StyleNet CNN [3] and attribute clusters. Figure 1a are results for CNN clusters: Goth, Bohemian, and Preppy styles are succesfully discovered; however, there are 2 variants of Goth, one for pants and one for skirt...
متن کاملA Latent Variable Model for Geographic Lexical Variation
The rapid growth of geotagged social media raises new computational possibilities for investigating geographic linguistic variation. In this paper, we present a multi-level generative model that reasons jointly about latent topics and geographical regions. High-level topics such as “sports” or “entertainment” are rendered differently in each geographic region, revealing topic-specific regional ...
متن کاملA Travel Planning System Based on Travel Trajectories Extracted from a Large Number of Geotagged Photos on the Web
Due to the recent wide spread of camera devices with GPS, the number of geotagged photos on the Web is increasing rapidly. Some image retrieval systems and travel recommendation systems which make use of geotagged images on the Web have been proposed so far. While most of them handle a large number of geotagged images as a set of location points, in this paper we handle them as sequences of loc...
متن کاملSharing, Discovering and Browsing Geotagged Pictures on the Web
In recent years the availability of GPS devices and the development in web technologies has produced a considerable growth in geographical applications available on the web. In particular the growing popularity of digital photography and photo sharing services has opened the way to a myriad of possible applications related to geotagged pictures. In this work we present an overview of the creati...
متن کاملProbabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often comprise of a set of loose clusters(a.k.a communities), whose members are better connected to each other than to the rest of the network. Discovering such inherent community structures can lead to deeper understanding about...
متن کامل