Myunggwon Hwang, Hyunjang Kong, Sunkyoung Baek, Pankoo Kim's Adaptive Multimedia Retrieval: User, Context, and Feedback: PDF

By Myunggwon Hwang, Hyunjang Kong, Sunkyoung Baek, Pankoo Kim (auth.), Stéphane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki (eds.)

ISBN-10: 3540715444

ISBN-13: 9783540715443

ISBN-10: 3540715452

ISBN-13: 9783540715450

This publication constitutes the completely refereed post-proceedings of the 4th foreign Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The 18 revised complete papers provided including 2 invited papers have been conscientiously chosen in the course of rounds of reviewing and development. additionally incorporated are invited contributions which have been meant to open on less-addressed issues in the neighborhood, because it is the case for track info retrieval and allotted info retrieval. The papers are equipped in topical sections on ontology-based retrieval and annotation, rating and similarity measurements, tune details retrieval, visible modelling, adaptive retrieval, structuring multimedia, in addition to person integration and profiling.

Show description

Read or Download Adaptive Multimedia Retrieval: User, Context, and Feedback: 4th International Workshop, AMR 2006, Geneva, Switzerland, July 27-28, 2006, Revised Selected Papers PDF

Similar computers books

Download PDF by Dan Gookin: DOS For Dummies (3rd Edition)

Home windows could rule the area of well known computing on computers worldwide, yet DOS nonetheless has a spot within the hearts and minds of laptop clients who vaguely take into account what a C urged feels like. whether DOS (with all its arcane instructions and its drab, uninteresting glance) isn't your notion of easy methods to get issues performed on a laptop, you'll locate lots of quick and pleasant assistance on hand with the 3rd version of DOS For Dummies.

New PDF release: Computer Aided Verification: 5th International Conference,

This quantity includes the complaints of the 5th convention on Computer-Aided Verfication, held in Crete, Greece, in June/July 1993. the target of the CAV meetings is to assemble researchers and practitioners attracted to the advance anduse of tools, instruments, and theories for the computer-aided verification of concurrent platforms.

New PDF release: Automotive computer controlled systems: diagnostic tools and

'Automotive desktop managed structures' explains the elemental rules of engineering that lie at the back of the operation of car digital structures. Having received this data, the reader might be in a position to make complete use of the diagnostic gear that's at present on hand. The publication builds at the recommendations contained in motor vehicle digital platforms and Fault prognosis and provides transparent steps to fault prognosis and next fix of the vehicle's digital structures.

Read e-book online Computer Vision - ECCV 2004: 8th European Conference on PDF

Welcome to the court cases of the eighth eu convention on machine - sion! Following a really winning ECCV 2002, the reaction to our demand papers was once nearly both powerful – 555 papers have been submitted. We permitted forty-one papers for oral and 149 papers for poster presentation. numerous strategies have been brought into the evaluation procedure.

Additional info for Adaptive Multimedia Retrieval: User, Context, and Feedback: 4th International Workshop, AMR 2006, Geneva, Switzerland, July 27-28, 2006, Revised Selected Papers

Sample text

3 Text and Visual Features This section describes the features used to represent text queries and pictures. e. each query q is represented with a vocabulary sized vector, q = (q1 , . . , qT ), where qi is the weight of term i in q and T is the vocabulary size. e. qi = tfi,q · idfi T j=1 (tfj,q · idfj )2 where tfi,q refers to the number of occurrences of i in q and idfi = −log(ri ), ri being the fraction of training captions in which i occurs. g. [1,6], we adopt a bag-of-visterms representation for pictures.

Tr Abstract. Current solutions are still far from reaching the ultimate goal, namely to enable users to retrieve the desired video clip among massive amounts of visual data in a semantically meaningful manner. With this study we propose a video database model that provides nearly automatic object, event and concept extraction. It provides a reasonable approach to bridging the gap between low-level representative features and high-level semantic contents from a human point of view. By using training sets and expert opinions, low-level feature values for objects and relations between objects are determined.

I. Schmitt. Basic Concepts for Unifying Queries of Database and Retrieval Systems. Technical Report 7, Fakult¨ at f¨ ur Informatik, Univ. Magdeburg, 2005. 27. I. Schmitt and N. Schulz. Similarity Relational Calculus and its Reduction to a Similarity Algebra. In Proc. of 3rd Intern. Symposium on Foundations of Information and Knowledge Systems (FoIKS’04), pages 252–272. Springer-Verlag, 2004. 28. I. Schmitt, N. Schulz, and T. Herstel. WS-QBE: A QBE-like Query Language for Complex Multimedia Queries.

Download PDF sample

Adaptive Multimedia Retrieval: User, Context, and Feedback: 4th International Workshop, AMR 2006, Geneva, Switzerland, July 27-28, 2006, Revised Selected Papers by Myunggwon Hwang, Hyunjang Kong, Sunkyoung Baek, Pankoo Kim (auth.), Stéphane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki (eds.)


by Steven
4.4

Rated 4.50 of 5 – based on 42 votes