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 and textual cues from the multimedia items, trained on datasets of different size and origin. The best results were obtained by a hybrid approach trained with external training data and using two publicly available gazetteers.
MediaEval