Op40 Holdings, Inc.

Euclid Discoveries, LLC

Op40, Inc.

Op40 Holding, Inc.

Darin DeForest

Charles Paul Pace

Shuang Chen

Paolo R Pizzorni

Nigel Lee

Renato Pizzorni

Mark Bobick

Richard Wingard

A model-based compression codec applies higher-level modeling to produce better predictions than can be found through conventional block-based motion estimation and compensation. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks and related to specific blocks of video data to be encoded. The tracking information is used to produce model-based predictions for those blocks of data, enabling more efficient navigation of the prediction search space than is typically achievable through conventional motion estimation methods. A hybrid framework enables modeling of data at multiple fidelities and selects the appropriate level of modeling for each portion of video data. A compliant-stream version of the model-based compression codec uses the modeling information indirectly to improve compression while producing bitstreams that can be interpreted by standard decoders.

Standards-compliant model-based video encoding and decoding

A model-based compression codec applies higher-level modeling to produce better predictions than can be found through conventional block-based motion estimation and compensation. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks and related to specific blocks of video data to be encoded. The tracking information is used to produce model-based predictions for those blocks of data, enabling more efficient navigation of the prediction search space than is typically achievable through conventional motion estimation methods. A hybrid framework enables modeling of data at multiple fidelities and selects the appropriate level of modeling for each portion of video data.

Model-based video encoding and decoding

Systems and methods of improving video encoding/decoding efficiency may be provided. A feature-based processing stream is applied to video data having a series of video frames. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks, and each track is given a representative, characteristic feature. Similar characteristic features are clustered and then stored in a model library, for reuse in the compression of other videos. A model-based compression framework makes use of the preserved model data by detecting features in a new video to be encoded, relating those features to specific blocks of data, and accessing similar model information from the model library. The formation of model libraries can be specialized to include personal, 'smart' model libraries, differential libraries, and predictive libraries. Predictive model libraries can be modified to handle a variety of demand scenarios.

Video compression repository and model reuse

Member object(s) of a computer system part(s) in an Enterprise Information System (EIS) are identified (discovered) and topographical relationship(s) are established among them to create digital assets by traversing computer file system(s) to find member object(s). For each member object found, a digital asset identifier thereof is placed in an intermediate representation, such as a graph with nodes and edges. Each digital asset identifier corresponds to a node. The edges represent the topographical relationship. A digital asset is created by placing the member object in a logic/data section of the digital asset, attaching an extended environment data structure to the logic/data section and storing the digital asset in an asset inventory container object. This is repeated for each found member object until the intermediate representation fully describes the computer system part and the asset inventory container object is a complete inventory of the digital assets in the computer system part.

Server system and method for discovering digital assets in enterprise information systems

Provided are methods and systems for distributing an asset to a multi-tiered network node. A pending notice is received from a distribution server. If the notice indicates that at least one asset is pending, i.e., awaiting deployment, an asset descriptor manifest is received from the distribution server. The asset descriptor manifest, which is stored in a memory on a node, identifies at least one asset to be deployed to the node and includes an offset associated with the asset identifier. A fragment, associated with the asset, is received and stored in the memory. The offset associated with the asset is marked with the end of the fragment and a second fragment, beginning at the offset, is received. Additional fragments are received, and the offset updated, until the entire asset is deployed to the node. Alternately, the entire asset or multiple assets are received in the first fragment.

System and method for distributing assets to multi-tiered network nodes

Provided is a computer system and method for transactional deployment of component(s) over a multi-tier network with J2EE application server program(s) stored on a memory(ies) of the system and which are executed by a central processing unit(s) (CPUs). A J2EE application(s) can be executed by the J2EE application servers, and a J2EE application container(s) are contained within each J2EE application server. Each J2EE application container contains a J2EE application container component(s) and a Java EJB container(s) or Java web containers are contained within each J2EE application container. A J2EE component(s) are delivered to the J2EE application server over one or more tiers of the network. There are one or more logical connections to one or more databases located on the network. This defines a sphere of control managing transactional deployment of the delivered J2EE component(s) and an update of the database to keep the data consistent with the J2EE application.

System and method for transactional deployment of J2EE web components, enterprise java bean components, and application data over multi-tiered computer networks

A method for distributing changes to digital assets across a network includes determining an asset type of a first digital asset and comparing the first digital asset to a prior digital asset to determine one or more deltas, the prior digital asset being a prior version of the first digital asset and the delta being a difference between the first digital asset and the prior digital asset. The method further includes evaluating the one or more of the deltas with one or more criteria to determine if the one or more delta assets should be created, the delta asset being a second digital asset containing the respective delta, the criteria determined by the asset type. The method further includes that if the delta meets the criteria, creating the delta asset, and marking the delta asset as a first delta asset of the first digital asset.

Method and system for deploying an asset over a multi-tiered network

The present invention provides a system, method, and data structure for packaging assets for processing and distribution over a multi-tiered network. An asset may represent network and/or application components (e.g., data, objects, applications, program modules, etc.) that may be distributed among the various resources of the network. In an embodiment, the package structure includes at least one representation of an asset having a logic/data portion and an asset extended environment portion, and a package extended environment that includes package information associated with at least one asset.

System, method, and data structure for packaging assets for processing and distribution on multi-tiered networks

An exemplary method and/or exemplary embodiment of the present invention synchronizes an asset over a multi-tiered network. An asset may represent network and/or application components (e.g., data, objects, applications, program modules, etc.) that may be distributed among the various resources of the network. Synchronization addresses the restoration of asset coherency in a distributed system, i.e. bringing changes made to assets on one distributed node into harmonization with changes made to assets on another distributed node. In an embodiment, a synchronization call having a data argument and an asset type is received, an adapter associated with the asset type is selected, and the data argument is passed to the adapter. The asset type is determined, as well as a table associated with the asset type. A synchronization information object is retrieved from a target environment on a target node, and a synchronization asset is created based on the synchronization information. A connection is established between the target node and the asset's original source node, and the synchronization asset is sent from the target node to the source node.

System and method for synchronizing assets on multi-tiered networks

A method and system of operating a computer system for targeting one or more digital assets on a distribution server connected to one or more networks so that the digital assets are compatible with one or more target nodes connected to the networks includes examining the one or more digital assets to determine an asset type of the digital asset and, if the asset type is Relational Data (RD), retrieving one or more where clauses of the digital asset. The method and system may further include executing a token replacement operation on the where clause to create a transformed where clause and running a query on one or more tables specified in the digital asset using the transformed where clause, the query returning one or more returned records and the returned records correlating with the target node. The method and system may further include storing the returned record in the digital asset.

Growing community of inventors

Phoenix, AZ, United States of America

Darin DeForest