This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Mobile display devices such as phones and PDAs have become very widely available and used. However, most content on these devices is limited to text, static images and motion vide...
The aggregated search assembles in one interface information from different sources. It deals with different types of content (text, video, image, etc) and granularities of retriev...