KEYWORDS: Computer programming, Video coding, 3D modeling, Video, 3D image processing, Motion estimation, 3D video compression, Motion models, 3D imaging standards, 3D displays
In the test model of high efficiency video coding (HEVC) standard–based three-dimensional (3-D) video coding (3-D-HEVC), the variable size motion estimation (ME) and disparity estimation (DE) have been employed to select the best coding mode for each treeblock in the encoding process. This technique achieves the highest possible coding efficiency, but it brings extremely high computational complexity that limits 3-D-HEVC from practical applications. An early SKIP mode decision algorithm based on spatial and interview correlations is proposed to reduce the computational complexity of the ME/DE procedures. The basic idea of the method is to utilize the spatial and interview properties of coding information in previous coded frames to predict the current treeblock prediction mode and early skip unnecessary variable-size ME and DE. Experimental results show that the proposed algorithm can significantly reduce computational complexity of 3-D-HEVC while maintaining nearly the same rate distortion performance as the original encoder.
Intelligent plan is a very important research in artificial intelligence, which has applied in network security. This
paper proposes a new intrusion prevention model base on planning knowledge graph and discuses the system
architecture and characteristics of this model. The Intrusion Prevention based on plan knowledge graph is completed by
plan recognition based on planning knowledge graph, and the Intrusion response strategies and actions are completed by
the hierarchical task network (HTN) planner in this paper. Intrusion prevention system has the advantages of intelligent
planning, which has the advantage of the knowledge-sharing, the response focused, learning autonomy and protective
ability.
By analysis of the low degree of intelligence of the traditional lighting control methods, the paper uses the singlechip
microcomputer for the control core, and uses a pyroelectric infrared technology to detect the existence of the human
body, light sensors to sense the light intensity; the interface uses infrared sensor module, photosensitive sensor module,
relay module to transmit the signal, which based on ZigBee wireless network. The main function of the design is to
realize that the lighting can intelligently adjust the brightness according to the indoor light intensity when people in door,
and it can turn off the light when people left. The circuit and program design of this system is flexible, and the system
achieves the effect of intelligent energy saving control.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.