TRACK A: Mobile and Computer Vision

MOBILE PROGRAMMING 1  (basic) – 26-29 JUNE 2017
Course objective: Creating mobile web apps
Course contents: Sample development using HTML5-Javascript, PHP; Hybrid apps: translation to native code via Cordova

MOBILE PROGRAMMING  2  (adv) – 10,11,12 and 14 JULY 2017
Course objective: Creating mobile native Android apps
Course contents: Sample development using native code via Android Studio; Android API; JNI Java Native Interface; bridging Open CV using JNI

COMPUTER VISION (adv. onsite course IN FLORENCE) – 15-19 NOVEMBER 2017
Course objective: Creating computer vision recognition applications
Course contents: OPENCV framework, Lib SVM and CNN Frameworks; SIFT detector and descriptors; CNN models and descriptors; SVM Classifiers, CNN detectors and classifiers. Sample application development
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TRACK B: Multimedia big data

PRE-PROCESSING OF VISUAL INFORMATION  (basic) – 17-18 JULY 2017
Course objective: Familiarizing with image processing
Course contents: Image/video content pre-processing: contrast enhancement, smoothing and noise removal techniques

MULTIMEDIA CONTENT REPRESENTATION  (adv) – 24-27 JULY 2017
Course objective: Learning multimedia features and their representation
Course contents: Data representation, data analysis techniques; content description including color, texture, shape, features, motion, temporal structure, audio, text; social data and common analytics techniques; data normalization and decorrelation techniques

MULTIMEDIA CLASSIFICATION (adv) – 7-8 SEPTEMBER 2017
Course objective: Learning tools for categorizing multimedia contents
Course contents: Unsupervised clustering: hierarchical clustering, k-means; supervised classification: k-NN, Support Vector Machines, decision trees for information retrieval and content understanding

MULTIMEDIA RETRIEVAL   (adv – onsite course IN BUCAREST) – 7-8 and 11-12 SEPTEMBER 2017
Course objective: Learning principles of content-based retrieval from large datasets
Course contents: Information retrieval systems; data indexing data similarity; data fusion; relevance feedback; performance metrics

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TRACK C: 3D

Given by IMT Lille Douai

3D scanning (basic) – 22-23 JUNE 2017
Course objective: Introduction to fundamentals of 3D acquisition
Course contents: 3D scanning; stereo vision, triangulation, laser scanning, structured light; time-of-flight cameras

3D scan pre-processing  (adv) – 3-5 JULY 2017
Course objective: Learning 3D pre-processing operations
Course contents: Triangular meshes; geometry-processing: pipeline based on triangular meshes; geometry processing: mesh parameterisation and mesh quantities; MeshLab

3D SCAN MATCHING AND REGISTRATION (basic) – 12-13 SEPTEMBER 2017
Course objective: Learning tools for Augmented Reality applications
Course contents: Basic concepts of Augmented Reality

3D SCAN MATCHING AND REGISTRATION (adv, onsite course IN LILLE) – 13-16 NOVEMBER 2017
Course objective: Learning principles for matching 3D data
Course contents: Matching algorithms; Iterative Closest Point algorithm, for the alignment of the cloud points; Point Cloud Library

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