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ISCApad Archive » 2014 » ISCApad #197 » Jobs » (2014-10-25) Postdoc positions in multimodal video recommendation, Aix-Marseille University, France |
ISCApad #197 |
| Wednesday, November 12, 2014 by Chris Wellekens |
6-32 (2014-10-25) Postdoc positions in multimodal video recommendation, Aix-Marseille University, France
Postdoc positions at Aix-Marseille University in multimodal video recommendation
Application deadline: 11/31/2014
Description:
The ADNVIDEO project, funded in the framework of A*MIDEX (http://amidex.univ-amu.fr/en/home), aims at extending multimodal analysis models. It focuses on jointly processing the audio stream, the speech transcript, the image flow, scenes, the characterization of text overlays and user feedback.
Using as starting point the corpus, annotations and approaches developed during the REPERE challenge (http://defi-repere.fr), this project aims at going beyond indexing on a single modality by incorporating information retrieval methods, not only from broadcast television, but more generally on video documents requiring multimodal scene analysis. The novelty here is to combine and correlate information from different sources to enhance the qualification of content. The application for this project relates to the issue of recommendation applied to videos: given a video, the system finds documents (text, image, and video) related to this video, either on the surface level or the meaning level. In particular, the use case considered may have, in terms of technology transfer, significant economic benefits, regarding automatic ad targeting: automatically find the most relevant advertising with respect to the content of a video.
Objectives:
The candidate will participate in the development of a prototype for videos recommendation, leading to a technology transfer towards business:
* Extraction of multimodal low-level descriptors. These descriptors correspond to speech, image and sound / music.
* Extraction of multimodal high-level descriptors. These semantic-oriented descriptors are extracted from low-level descriptors.
* Aggregation of multimodal descriptors to form the multimodal footprint of the video.
* Matching videos and promotional material.
* Validation of the video recommendation prototype.
* Participation to the scientific life of the lab, including paper publication.
The allocation of tasks can be performed depending on the skills of the candidate.
Skills:
For this project, we are looking for two candidates with a PhD degree in the areas of information retrieval, natural language processing, machine learning or video analysis:
* Strong programming skills (C++, Java, Python?).
* Desire to produce functioning end-to-end systems, life-scale live demos
* Scientific rigor
* Imagination
* Top notch publications
* Excellent communication skills
* Enjoy teamwork
Candidates must presently work outside of France.
Location:
University of Aix-Marseille, LIF (http://www.lif.univ-mrs.fr) and LSIS laboratories (http://www.lsis.org) and the company Kalyzee (http://www.kalyzee.com).
Contact:
Candidates should email a letter of application, a detailed CV including a complete list of publications, and source code showcasing programming skills. |
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