Representation and Retrieval of Video Data in Multimedia SystemsHongJiang Zhang, Philippe Aigrain, Dragutin Petkovic Springer US, 1997. gada 31. janv. - 84 lappuses Representation and Retrieval of Video Data in Multimedia Systems brings together in one place important contributions and up-to-date research results in this important area. Representation and Retrieval of Video Data in Multimedia Systems serves as an excellent reference, providing insight into some of the most important research issues in the field. |
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1.–3. rezultāts no 4.
36. lappuse
... visual features are important for shot description . Motion has been used to identify r - frames in [ 51 ] , where optical flow analysis allows to measure the motion in a shot and select r - frames as the local minima of motion . In ...
... visual features are important for shot description . Motion has been used to identify r - frames in [ 51 ] , where optical flow analysis allows to measure the motion in a shot and select r - frames as the local minima of motion . In ...
42. lappuse
... optical flow field [ 19 ] of the r - frame , and their computation involves considering a few frames after or before and after the r - frame . We used the Nagel [ 30 , 31 ] technique as implemented in [ 8 ] . Essentially this is a ...
... optical flow field [ 19 ] of the r - frame , and their computation involves considering a few frames after or before and after the r - frame . We used the Nagel [ 30 , 31 ] technique as implemented in [ 8 ] . Essentially this is a ...
43. lappuse
... flow field have magnitude in the range ( 0-1 ) . This technique allows to obtain a dense and sufficiently precise flow field at a reasonable computational cost . Once the optical flow field is computed , we need a method able to code ...
... flow field have magnitude in the range ( 0-1 ) . This technique allows to obtain a dense and sufficiently precise flow field at a reasonable computational cost . Once the optical flow field is computed , we need a method able to code ...
Citi izdevumi - Skatīt visu
Representation and Retrieval of Video Data in Multimedia Systems HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Ierobežota priekšskatīšana - 2007 |
Representation and Retrieval of Video Data in Multimedia Systems HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Priekšskatījums nav pieejams - 2013 |
Representation and Retrieval of Video Data in Multimedia Systems Hongjiang Zhang,Philippe Aigrain,Dragutin Petkovic Priekšskatījums nav pieejams - 2014 |
Bieži izmantoti vārdi un frāzes
action actor algorithm analysis architecture Ardizzone AUTEUR AVRR AVRR/IAVRR browsing camera break character cluster tree clusters and roles color histogram color indexing Computer Science Computer Vision conceptual clustering Conf content-based retrieval data structures described descriptor detection dynamic Euclidean distance feature DB feature extraction Figure humour IAVRR IEEE Image and Video image databases implementation indexing joke key frames L2 distance long shot MIT Media Lab mood motion magnitude Multimedia narrative object-oriented OODB Oomoto optical flow performed pointer Proc proposed prototype system queries by color Query 3 Query Query by example r-frames R.W. Picard relevant representation representative frames role tree scene analyser scene constructor scene planner semantic fields shot type specific Storage and Retrieval story planner strategy sub-role techniques temporal theme vector video data video databases video editing video objects video segmentation video sequences VIMS visual Zhang
Atsauces uz šo grāmatu
Ähnlichkeitssuche in Multimedia-Datenbanken: Retrieval, Suchalgorithmen und ... Ingo Schmitt Priekšskatījums nav pieejams - 2006 |