Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad …
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of …
MJ Huiskes, MS Lew - Proceedings of the 1st ACM international …, 2008 - dl.acm.org
In most well known image retrieval test sets, the imagery typically cannot be freely distributed or is not representative of a large community of users. In this paper we present a …
Visual object analysis researchers are increasingly experimenting with video, because it is expected that motion cues should help with detection, recognition, and other analysis tasks …
Y Liu, D Zhang, G Lu, WY Ma - Pattern recognition, 2007 - Elsevier
In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms …
M Grubinger, P Clough, H Müller… - International workshop …, 2006 - marksanderson.org
In this paper, we describe an image collection created for the CLEF cross-language image retrieval track (ImageCLEF). This image retrieval benchmark (referred to as the IAPR TC-12 …
An experimental comparison of a large number of different image descriptors for content- based image retrieval is presented. Many of the papers describing new techniques and …
Automatic image annotation (AIA), a highly popular topic in the field of information retrieval research, has experienced significant progress within the last decade. Yet, the lack of a …
We propose DeepExpr, a novel expression transfer approach from humans to multiple stylized characters. We first train two Convolutional Neural Networks to recognize the …