Abstract | ||
---|---|---|
In this paper, we present a design architecture of implementing a ¿Vector Bank¿ into video encoder system, namely, an H.264 encoder, in order to detect and analyze the moving objects within the specific area. Also, we believe that the transmitting bandwidth could be saved with the implementation of Vector Bank design. Motion Estimation is a common technology for today's video codec. By abstracting the vector data from the Motion Estimation block using the motion detection method and with the application of Laplacian of Gaussian operator, we could obtain the object motion data generated by up to 16 reference frames. Thus, it could save the bandwidth, processing load, and memory resources dramatically. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/I-SPAN.2009.74 | ISPAN |
Keywords | Field | DocType |
video codec,transmitting bandwidth,object motion data,video encoder system,motion estimation,gaussian operator,h.264,data compression,vector bank design,design architecture,system-on-chip,h.264 encoder,processing load,edge detection,video coding,memory resources,system-on-chip design,motion estimation block,vector data,vector bank,vector bank based multimedia codec,motion detection method,multimedia codec system-on-a-chip,video codecs,sensors,system on a chip,laplacian of gaussian,system on chip,reference frame | Reference frame,Object detection,Quarter-pixel motion,Motion detection,Computer science,Real-time computing,Encoder,Motion estimation,Computer hardware,Data compression,Codec | Conference |
ISBN | Citations | PageRank |
978-1-4244-5403-7 | 0 | 0.34 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruei-Xi Chen | 1 | 29 | 5.26 |
Wei Zhao | 2 | 3532 | 404.01 |
Jeffrey Fan | 3 | 0 | 0.34 |
Asad Davari | 4 | 9 | 3.09 |