DocumentCode
3593595
Title
Parametric description of object motion using EMUs
Author
Ekin, Ahmet ; Mehrotra, Rajiv ; Tekalp, A. Murat
Author_Institution
Dept. of Electr. & Comput. Eng., Rochester Univ., NY, USA
Volume
2
fYear
2000
Firstpage
570
Abstract
Large scale deployment of digital multimedia applications requires effective and efficient image and video representations for indexing. We present a hierarchical representation of video objects based on their motion. The proposed representation enables both low and semantic level description of object motion. At the low level, we consider a parametric description of the dominant motion of video objects, and define elementary motion units (EMU) where the dominant motion of the object is coherent and does not undergo considerable change. A group of EMUs forms an action unit which carries semantic information. Interactions between objects are also considered by calculating the relative motion between objects in an object-based framework. Experimental results for retrieval of EMUs based on similarity of dominant object motion are demonstrated.
Keywords
database indexing; image representation; image retrieval; motion estimation; multimedia communication; multimedia databases; parameter estimation; video signal processing; EMU; action unit; digital multimedia applications; dominant coherent motion; elementary motion units; hierarchical representation; image representation; low level description; motion indexing; motion retrieval; object based indexing; object motion; parametric description; querying mechanisms; relative motion; semantic information; semantic level description; video objects; video representation; Analytical models; Application software; Cameras; Cognitive science; Humans; Image converters; Indexing; Large-scale systems; Layout; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899492
Filename
899492
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