Video2GPS: Geotagging using collaborative systems, textual and visual features MediaEval 2010 Placing Task

نویسندگان

  • Pascal Kelm
  • Sebastian Schmiedeke
  • Thomas Sikora
چکیده

Assigning geographical coordinates to shared content has become a popular activity on the Web, but nevertheless there are still huge amounts of media data without any geographical tags. Our approach enables these media data to be geotagged with the help of recently tagged media and knowledge-based collaborative systems. It includes three different methods–querying collaborative systems, document indexing, and classification based on visual features –which are combined to estimate geographical regions. Our approach can be applied under restrictions encountered in real applications. We give five experimental results for the MediaEval 2010 placing task collection. General Terms geolocalization, collaborative systems, probabilistic latent semantic analysis, support vector machine, mpeg-7

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Geotagging Flickr Photos And Videos Using Language Models

This paper presents an experimental framework for the Placing tasks, both estimation and verification at MediaEval Benchmarking 2016. The proposed framework provides results for four runs first, using metadata (such as user tags and title of images and videos), second, using visual features extracted from the images (such as tamura), third, by using the textual and visual features together and ...

متن کامل

CEA LIST's Participation at MediaEval 2012 Placing Task

Multimedia content geotagging is potentially useful in a wide variety of application. Although an increasing number of existing devices include geotagging options, a wide majority of online content is still not geotagged and methods for efficient automatic geotagging are needed. Here we describe CEA LIST’s participation to the MediaEval 2012 Placing Task [3]. We submitted runs that exploit eith...

متن کامل

CERTH/CEA LIST at MediaEval Placing Task 2015

We describe the participation of the CERTH/CEA LIST team in the Placing Task of MediaEval 2015. We submitted five runs in total to the Locale-based placing sub-task, providing the estimated locations for the test set released by the organisers. Out of five runs, two are based solely on textual information, using feature selection and weighting methods over an existing language model-based appro...

متن کامل

The 2012 ICSI/Berkeley Video Location Estimation System

In this paper, we describe the ICSI/Berkeley video location estimation system presented at the MediaEval 2012 Placing Task. We describe the graphical model based framework that poses the geo-tagging problem as inference over the graph. Our algorithm jointly estimates the geo-locations of all the test videos, which helps obtain performance improvements over existing algorithms in the literature ...

متن کامل

Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features

We describe the participation of the CERTH/CEA-LIST team in the MediaEval 2016 Placing Task. We submitted five runs to the estimation-based sub-task: one based only on text by employing a Language Model-based approach with several refinements, one based on visual content, using geospatial clustering over the most visually similar images, and three based on a hybrid scheme exploiting both visual...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010