Post streams from public social media platforms such as Instagram and Twitter have become precious but noisy data sources to discover what is happening around us. In this paper, we focus on the problem of detecting and presenting local events in real time using social media content. We propose a novel framework for real-time city event detection and extraction. The proposed framework first appl...

A framework fo r statistical modeling of the wideband characterABSTRACT ist ics o f the frequency-selective fad ing mul t ipa th indoor radio channel fo r geolocation applications is presented. Mul t ipath characteristics o f the channel are divided into three classes according t o availability and the strength of the direct line of sight (DLOS) path w i th respect t o the other paths. Statisti...

Virtual meetings have become increasingly common with modern video-conference and collaborative software.While they allow obvious savings in time and resources, current technologies add unproductive layers of protocol to the flow of communication between participants, rendering the interactions far from seamless. In this work we introduce Remote Proxemics, an extension of proxemics aimed at bri...

The time and location that an image is captured indirectly defines the appearance of the scene. However, for outdoor scenes, the more directly relevant variables that affect image appearance are the scene structure, local weather conditions, and the position of the sun. In this paper, we present a large dataset of archived time-lapse imagery with associated geo-location and weather annotations ...

1 Residential Geolocation of Households in a Large-Scale Activity-based 1 Microsimulation Model and Development of a High Definition Spatial 2 Distribution of Vehicle Miles Traveled 3 4 5 6 7 Yali Chen , Ph.D. 8 Data Analyst, Budget and Planning Office, 9 University of California Santa Barbara 10 [email protected] 11 12 Konstadinos G. Goulias, Ph.D. 13 Professor, GeoTrans and Department of Geo...

Modern smartphone apps tend to contain and use vast amounts of data that can be broadly classified as structured and unstructured. Structured data, such as an user’s geolocation, has predefined semantics that can be retrieved by well-defined platform APIs. Unstructured data, on the other hand, relies on the context of the apps to reflect its meaning and value, and is typically provided by the u...

In this paper, the concept of geo-referenced 3D map and its applications have been discussed. The major contribution is that it adopts geo-referenced images for various applications. Next generation 3D map, which is realistic, image-based, is able to provide 3D geometry measurements and various geo-location services. The methodology and development process has been introduced. Experiments for t...

The goal of this research is to develop new gameplays and new narration principles for MUGs (Multiplayer Ubiquitous Games). We aim to formalize a narrative mechanism to generate events which can stimulate the user's physical actions with the real world, and social communications with other players. We first present a pattern to identify the feedback relationship between the real world and the v...

We implement a city-level geolocation prediction system for Twitter users. The system infers a user’s location based on both tweet text and user-declared metadata using a stacking approach. We demonstrate that the stacking method substantially outperforms benchmark methods, achieving 49% accuracy on a benchmark dataset. We further evaluate our method on a recent crawl of Twitter data to investi...