Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

3732 results about "Data compression" patented technology

In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

Method and system of program transmission optimization using a redundant transmission sequence

A system and method of optimizing transmission of a program to multiple users over a distribution system, with particular application to video-on-demand for a CATV network. The system includes, at a head end of the CATV network a scheduling and routing computer for dividing the video program stored in long term fast storage or short term fast storage into a plurality of program segments, and a subscriber distribution node for transmitting the program segments in a redundant sequence in accordance with a scheduling algorithm. At a receiver of the CATV network there is provided a buffer memory for storing the transmitted video program segments for subsequent playback whereby, in use, the scheduling algorithm can ensure that a user's receiver will receive all of the program segments in a manner that will enable continuous playback in real time of the program. Under the control of controller the receiver distinguishes received program segments by a segment identifier so that redundant segments captured in capture memory are then stored in buffer memory from which the segments can be retrieved and decompressed in data compressor for immediate or subsequent viewing. In one embodiment, the method of this invention includes dividing at least some segments into fragments, and transmitting one fragment of each segment during a playback interval of a duration, for example, equal to a playback time of a segment.

Intelligent modeling, transformation and manipulation system

The present invention relates to a method of intelligent 2D and 3D object and scene modeling, transformation and manipulation and more particularly this invention relates to the field of computer modeling, virtual reality, animation and 3D Web streaming. The method uses attributed hypergraph representations (AHR) for modeling, transforming and manipulating objects. From one or more 2D views of a 3D object or scene, range information is first computed and then a triangular mesh model is constructed. The data structure is designed to handle the transformations on the representation corresponding to movements and deformations of the object. In an attributed hypergraph, the attributes associated with the hyperedges and the vertices facilitates modeling of various shapes with geometrical, physical or behavior features. As a hierarchical and generic representation, AHR enables pattern matching, recognition, synthesis and manipulation to be carried out at different resolution levels on different subsets depending on the context. Symbolic computation on knowledge represented in the format of attributed hypergraphs becomes straightforward. Given the features of a 3D object or scene, the procedure of constructing the AHR corresponds to the concept of functor in category theory, which maps one category to another one. The transformations of AHR are in the form of a set of operations defined on attributed hypergraphs, which stand for the motions and deformations of the object. This representation is applied to various modeling and manipulation tasks on 3D objects. The process of motion analysis of a 3D object is the task of extracting a sequence of AH operators from the AHR of the object. A 3D scene can be modeled by AHR and then altered / augmented with other 3D models, by which an augmented reality can be built. Given the AHR's of two different 3D shapes, 3D morphing may be accomplished by matching the two AHR's and then mapping the difference to a sequence of AH operators. Model based animation of an object can be accomplished by applying a set of AH operators to its AHR. The AHR method forms a data compression system for efficient web streaming over the Internet.
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products