Abstract:
A multiplexer may produce an MPEG-2 (Motion Picture Experts Group) System standard bitstream comprising views with nonconsecutive view order indexes. In one example, an apparatus includes a video encoder that encodes views of a scene, and a multiplexer that constructs a data structure for signaling that a corresponding MPEG-2 (Motion Picture Experts Group) System standard bitstream includes a first view of the views of the scene associated with a first view order index and a second view of the plurality of views of the scene associated with a second view order index. The first view order index and the second view order index are non-consecutive. The apparatus may further include an output interface that outputs the data structure.
Abstract:
Techniques are described related to constructing reference picture lists. The reference picture lists may be constructed from reference picture subsets of a reference picture set. In some examples, the techniques may repeatedly list reference pictures identified in the reference picture subsets until the number of entries in the reference picture list is equal to the maximum number of allowable entries in the reference picture list.
Abstract:
Techniques are described related to constructing reference picture lists. The reference picture lists may be constructed from reference picture subsets of a reference picture set. In some examples, the reference picture subsets may be ordered in a particular manner to form the reference picture lists.
Abstract:
In one example, a device for coding video data includes a video coder configured to code, for a bitstream, information representative of which of a plurality of video coding dimensions are enabled for the bitstream, and code values for each of the enabled video coding dimensions, without coding values for the video coding dimensions that are not enabled, in a network abstraction layer (NAL) unit header of a NAL unit comprising video data coded according to the values for each of the enabled video coding dimensions. In this manner, NAL unit headers may have variable lengths, while still providing information for scalable dimensions to which the NAL units correspond.
Abstract:
A method and apparatus are provided for generating identity data to be provisioned in product devices that are a part of a project. The method includes establishing a template associated with each CA in a hierarchical chain of CAs having a root CA at a highest level in the chain and a signing CA at a lowest level in the chain. The template associated with the signing CA inherits mandatory attribute fields specified in the root CA and any intermediate CA in the hierarchical chain. The mandatory attribute fields are user-specifiable fields to be populated with PKI data. A configuration file is generated upon receipt of an order for digital certificates using PKI data provided by a user to populate the mandatory attribute fields of the template associated with the signing CA. The digital certificates requested in the order are generated using the PKI data in the configuration file.
Abstract:
A process for producing boron nitride nanotubes and nanotube films, which process comprises heating a liquid composition comprising boron particles and a metal compound, wherein heating takes place at a temperature of from 800-1300° C. in a gaseous atmosphere containing nitrogen that causes boron nitride nanotubes to grow, and wherein the boron particles have an Caverage particle size of less than 100 nm, and wherein the metal compound is selected such that it promotes the growth of boron nitride nanotubes during heating.
Abstract:
In one example, a video decoder is configured to store an adaptation parameter set (APS) data structure in a buffer of a coding device, wherein the APS data structure includes signaling data applicable to one or more slices of video data, decode at least one of the slices based on the signaling data of the APS data structure, after decoding the slice, determine that the APS data structure can be removed from the buffer, remove the APS data structure from the buffer based on the determination, and decode one or more additional slices of the video data after removing the APS data structure from the buffer.
Abstract:
A method for analyzing sentiment comprising: collecting an object from an external content repository, the collected objects forming a content database; extracting a snippet related to the subject from the content database; calculating a sentiment score for the snippet; classifying the snippet into a sentiment category; creating sentiment taxonomy using the sentiment categories, the sentiment taxonomy classifying the snippets as positive, negative or neutral; identifying topic words within the sentiment taxonomy; classifying the topic words as a sentiment topic word candidates or a non-sentiment topic word candidate, filtering the non-sentiment topic word candidates; identifying the frequency of the non-sentiment topic words in each of the sentiment categories; identifying the importance of the non-sentiment topic word for each of the sentiment categories; and, ranking the topic word, wherein the rank is calculated by combining the frequency of the topic words in each of the categories with its importance.
Abstract:
A method for use with an aggregation operation (e.g., on a relational database table) includes a sorting pass and a merging pass. The sorting pass includes: (a) reading blocks of the table from a storage medium into a memory using an aggregation method until the memory is substantially full or until all the data have been read into the memory; (b) determining a number k of blocks to write back to the storage medium from the memory; (c) selecting k blocks from memory, sorting the k blocks, and then writing the k blocks back to the storage medium as a new sublist; and (d) repeating steps (a), (b), and (c) for any unprocessed tuples in the database table. The merging pass includes: merging all the sublists to form an aggregation result using a merge-sort algorithm.
Abstract:
In a method for making a recommendation for installing a software patch on a target computer, a computer identifies a first and a second set of computers from a group of computers. Each computer in the first set has hardware and software components, which are identical to each other or differ from each other by less than a predetermined measure. Each computer in the second set has hardware and software components, which are identical to each other or differ from each other by less than a predetermined measure. The computer selects one of the first and the second sets of computers such that the selected set of computers includes a higher number of computers with the software patch already installed.