|Website:||website containing additional information|
|Period:||period 1 (week 36 through 45, i.e., 6-9-2006 through 10-11-2006; retake week 1)
|Participants:||up till now 25 subscriptions|
|Schedule:||Dit is een oud rooster!
|Contents:||Multimedia retrieval is about the search for and delivery of multimedia documents:
images, sound, video, 3D scenes, and the combination of these.
This course deals with the technical aspect of multimedia retrieval:
techniques, algorithms, and data structures for search query formulation,
media description, matching of descriptions, indexing, visualization of
retrieval results, and relevance feedback. |
|Literature:||M. Lew (ed.). Principles of Visual Information Retrieval. Springer 2001.
The slides of the lectures are made available. |
|Course form:||A number of lectures, an experimentation assignment. |
|Exam form:||A written exam about the lectures (50%), experimentation assignment (50%).
|Minimum effort to qualify for 2nd chance exam:||To participate in the retake of the exam, the original grade must be at least 4.|
|Description:||During a number of initial lectures, a critical amount of knowledge is
provided about he technical aspect of multimedia retrieval: techniques,
algorithms, and data structures for search query formulation, media
description, matching of descriptions, indexing, visualization of retrieval
results, relevance feedback, etc.
In order to experimentally verify various techniques, we will experiment
with SIDESTEP - Shape-based Image Delivery Statistics Evaluation Project, a web-based experimentation platform for content-based retrieval. It allows to
experiment with different types of features, matching algorithms, and evaluation