Multimedia for mobile environment: image enhanced navigation

Abstract

As mobile systems (such as laptops and mobile telephones) continue growing, navigation assistance and location-based services are becoming increasingly important. Existing technology allow mobile users to access Internet services (e.g. email and web surfing), simple multimedia services (e.g. music and video clips), and make telephone calls. However, the potential of advanced multimedia services has not been fully developed, especially multimedia for navigation or location based services.At Purdue University, we are developing an image database, known as LAID, in which every image is annotated with its location, compass heading, acquisition time, and weather conditions. LAID can be used to study several types of navigation problems: A mobile user can take an image and transmit the image to the LAID sever. The server compares the image with the images stored in the database to determine where the user is located. We refer to this as the "forward" navigation problem. The second type of problem is to provide a "virtual tour on demand." A user inputs a starting and an ending addresses and LAID retrieves the images along a route that connects the two addresses. This is a generalization of route planning. Our database currently contains over 20000 images and covers approximately 25% of the city of West Lafayette, Indiana.

Relevance ranking in georeferenced video search

“…More related to our work, Ephstein et al [10] proposed to relate images with their view frustum (viewable scene) and used a scene-centric ranking to generate a hierarchical organization of images. Several additional methods were proposed for organizing images based on camera location, direction, and additional meta-data [11][12][13][14]. Although these approaches are similar to ours in using the camera field-of-view to describe the viewable scene, their main contribution is on image browsing and grouping of similar images together.…”

Vector model in support of versatile georeferenced video search

“…More related to our work, Ephstein et al [6] proposed to relate images with their view frustum (viewable scene) and used a scene-centric ranking to generate a hierarchical organization of images. Several additional methods are proposed for organizing [16,9] and browsing [7,17] images based on camera location, direction and additional meta-data. Although these research work are similar to ours in using the camera field-of-view to describe the viewable scene, their main contribution is on image browsing and grouping of similar Test on simple approximations (n1 objects) Test on exact geometry (n2 objects) negatives positives (n2) false positives true positives (n3)…”

The Use of Undergraduate Project Courses for Teaching Image and Signal Processing Techniques at Purdue University

“…[2]. Since 2005, the team has been integrating the information from multiple sources to monitor the environment for security and safety.…”

“…In VIP, the students are also encouraged to publish their results. A conference paper [2] was produced in Summer of 2005 as the result of a VIP project in Spring 2005. Currently, there are 4 VIP teams and 30 students.…”