ISBN: 9783639102802 - multimedia data mining and analysis from motion contents: effective techniques for managing motional multimedia data (16 resultados)

Condición: New.

Condición: New.

Condición: New. In English.

Condición: New.

Condición: New. pp. 136.

Kartoniert / Broschiert. Condición: New. Object motion in multimedia database containsimportant information for data content analysisespecially event detection. The motion content in itsraw form is real-value multidimensional time series.Processing and analyzing this kind o.

Taschenbuch. Condición: Neu. Multimedia Data Mining and Analysis from Motion Contents | Effective Techniques for Managing Motional Multimedia Data | Yue Zhou | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639102802 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. …

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: As New. Unread book in perfect condition.

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand pp. 136 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 136.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Object motion in multimedia database containsimportant information for data content analysisespecially event detection. The motion content in itsraw form is real-value multidimensional time series.Processing and analyzing this kind of data is nottrivial since most standard machine learningalgorithms can only be applied to data in vectorspace. In this work, we explore the techniques tosolve three problems related to motion cues inmultimedia databases: object motion estimation,motion representation, and motion analysis torecognize activities and events.In this book we first discuss our work on objectdetection and tracking, which estimate the objectmotion. We then introduce our edit distance basedapproach to measure the similarity between motiontrajectories in its raw form. We also present ourwork on a novel trajectory representation framework,'bag of segments,' by which trajectories aretransformed to a frequency in vector space so thatmost traditional machine learning algorithms can bedirectly applied to the motion trajectory data.Finally, we introduce our work on using the Grangercausality test to analyze multi-object interactionsfrom motion.…