Digital humanities are an emerging topic. The automatic extraction of information from scanned documents stored in archives and libraries of any modality (printed or handwritten text, graphics) is a challenge.
The use of context is very important in improving the recognition, especially when it is handwritten. The structure of objects, language models both for textual and graphical contents, is a kind of syntactic context. There is also another context, the semantic context provided by users which encompasses new modalities of user interaction (sketching interface, collaborative annotation platforms, etc.).
To tackle these challenges, the current research objectives of the hosting group are:
- To develop models for indexing and cross-linking visual terms in large scale document collections, building common representation spaces for different data modalities.
- To include syntactic and semantic context in recognition and retrieval architectures (Context aware recognition).
- To construct an advanced collaborative and tangible interface architecture and validate with end users.
The fellow is expected to contribute to (some of) the previous objectives. Research will be carried out in collaboration with archives with the objective of the interpretation of historical manuscripts such as demographic documents, hand written musical scores and maps, among others.
PROJECT SUPERVISOR & HOSTING GROUP
Prof. Josep Lladós will supervise the Fellow (with the support of Dr. Alicia Fornés).
The hosting group (DAG: Document Analysis Group) is one of the largest, active and internationally recognized teams in document analysis and recognition. The main outcomes in the last five years are: 12 PhD theses, 50 JCR papers, 1.200 k€ in competitive projects and 800 k€ in technology transfer projects.
As a research framework, the team has many National and International running projects as well as several international collaborations, where the Fellow will be involved.
CANDIDATE ’S PROFILE
A PhD in Computer Science (Computer Vision and Pattern Recognition) or a related field is required. We especially encourage candidates with experience in Document Analysis and Recognition, but other backgrounds with a potential interest to this position will also be considered.
The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team, while demonstrating initiative and independence, and willing to supervise PhD students.
THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Center (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Center offers an exciting environment for scientific career development.
The Computer Vision Center has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favourable working environment.
Josep Lladós / Alicia Fornés
Josep.Llados@uab.cat / firstname.lastname@example.org
+34 935812403 / +34 935813841
Conditions, deadlines and applications at www.uab.cat/psphere.
Call open from 9th of September until 9th of December.
OTHER P-SPHERE POSITIONS OPEN AT CVC
- HUMAN POSE RECOVERY AND BEHAVIOR ANALYSIS
- PERCEPTION BASED SELF DRIVING SYSTEM FOR URBAN SCENARIOS
- PREDICTING INTRINSIC PROPERTIES FROM IMAGES USING DEEP NETWORKS
- SCENE TEXT UNDERSTANDING
- DEEP LEARNING FOR MULTI-MODAL DATA REPRESENTATIONS