2887 results about "Object based" patented technology

A method and apparatus for placing objects on a storage device of a storage system and reconstructing data of objects in the storage device. The storage system stores data as objects and implements a RAID architecture including a plurality of the storage devices, and a disk controller for processing Object-based Storage Device (OSD) commands. Each object includes data and attribute. Parity data is calculated for reconstructing an object upon occurrence of a storage device failure. Each storage device includes plural stripes each having a predetermined length. Each object is stored in a stripe wherein an attribute is stored in the head of the stripe and data is stored after the attribute. When the object size exceeds the stripe length, the remainder of the object is stored in the next stripe, and when another object is to be stored, an attribute is stored at a head of a further next stripe and data is stored just after the attribute.

An online social networking system can be used to rank social network objects of various different object types, each according to its type. The objects may comprise types such as users, communities, blogs, blog entries, events, forums, forum topics, postings, photographs, and/or images. The product comprises code for carrying out a method that begins with receiving ranking data about social network objects that comprises data about events performed on the social network. For each social network object, a ranking function is applied to ranking data about the social network object based on its type. In addition, the recency of an event on the social network related to the social network object is evaluated, in order to calculate the score for the social network object. A relative ranking for each of the plurality of social network objects based on its score is determined, and the score and relative ranking of each of the social network objects stored.

A search and recommendation system employs the preferences and profiles of individual users and groups within a community of users, as well as information derived from categorically organized content pointers, to augment electronic commerce related searches, re-rank search results, and provide recommendations for commerce related objects based on an initial subject-matter query and an interaction history of a user. The search and recommendation system operates in the context of a content pointer manager, which stores individual users' content pointers (some of which may be published or shared for group use) on a centralized content pointer database connected to a network. The shared content pointer manager is implemented as a distributed program, portions of which operate on users' terminals and other portions of which operate on the centralized content pointer database. A user's content pointers are organized in accordance with a local topical categorical hierarchy. The hierarchical organization is used to define a relevance context within which returned objects are evaluated and ordered.

A method for searching text sources including temporally-ordered data objects, such as a blog, is provided including the steps of: (i) providing access to text sources, each text source including temporally-ordered data objects; (ii) obtaining or generating a search query based on terms and time intervals; (iii) obtaining or generating time data associated with the data objects; (iv) identifying data objects based on the search query; and (v) generating popularity curves based on the frequency of data objects corresponding to one or more of the search terms in the one or more time intervals. A system and computer program for text source searching is also provided.

Systems and methods for generating and playing a sequence of media objects based on a mood gradient are also disclosed. A mood gradient is a sequence of items, in which each item is media object having known characteristics or a representative set of characteristics of a media object, that is created or used by a user for a specific purpose. Given a mood gradient, one or more new media objects are selected for each item in the mood gradient based on the characteristics associated with that item. In this way, a sequence of new media objects is created but the sequence exhibits a similar variation in media object characteristics. The mood gradient may be presented to a user or created via a display illustrating a three-dimensional space in which each dimension corresponds to a different characteristic. The mood gradient may be represented as a path through the three-dimensional space and icons representing media objects are located within the three-dimensional space based on their characteristics.

A camera with multiple lenses and multiple sensors wherein each lens/sensor pair generates a sub-image of a final photograph or video. Different embodiments include: manufacturing all lenses as a single component; manufacturing all sensors as one piece of silicon; different lenses incorporate filters for different wavelengths, including IR and UV; non-circular lenses; different lenses are different focal lengths; different lenses focus at different distances; selection of sharpest sub-image; blurring of selected sub-images; different lens/sensor pairs have different exposures; selection of optimum exposure sub-images; identification of distinct objects based on distance; stereo imaging in more than one axis; and dynamic optical center-line calibration.

A computer implemented method for on-line purchasing via the global Internet. At a node connected to the Internet, customer data usable to automatically complete an on-line purchase by the customer of an item from a seller is received and stored. From a server, via the Internet, information is published to a computer of the customer, from the seller, with respect to an item, including metadata for use in associating said customer data with a customer action to purchase said item. A purchase indication is received from the customer computer, including at least a portion of said metadata for use in associating a customer purchase action with the item and metadata for use in associating said customer data with said transaction. In response to receiving said metadata for use in associating a customer purchase action with the item, the purchase is automatically completed by processing said metadata associating said customer data.

An imaging apparatus includes an imaging section converting an image into image data, an image classifying section classifying the image data, and a display section for displaying information regarding a recommended image as a shooting object based on a classification result by the image classifying section. Further, a server having a shooting assist function receives image data from an imaging apparatus that has an imaging section converting an image into the image data and includes a scene determining section classifying the received image data and determining whether a typical image has been taken repeatedly, a guide information section outputting information regarding a recommended image as a shooting object based on a determination result by the scene determining section, and a communication section outputting the information to the imaging apparatus.

This invention provides a system and method for customizing search results based on the searcher's actual geographic location when the search query was sent out via a wireless device. The searcher's geographic location information is extracted from, for example, the signals carrying the search query. The search engine compares the searcher's actual geographic location information against the geographic location information contained in the searchable resources to determine one or more parameters and then filters and ranks the search objects based on the determined parameters.

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

A system for object-based archival data storage includes an object-based storage subsystem having respective data storage devices, at least one file presentation interface that interfaces to client platforms, an administration interface having graphical user interface (GUI) and a command line interface (CLI), a meta data subsystem for storing meta data about files, and includes a virtual file subsystem having a virtual file server (VFS), a policy subsystem, and a scalable interconnect to couple the object-based storage subsystem, the at least one file presentation interface, the administration interface, the meta data subsystem, and the policy subsystem, wherein the policy subsystem provides system rules predetermined by a user for at least one of hash based integrity checking, read-only/write-ability/erase-ability control, and duplicate data treatment corresponding to files and file objects.

A cluster recovery process is implemented across a set of distributed archives, where each individual archive is a storage cluster of preferably symmetric nodes. Each node of a cluster typically executes an instance of an application that provides object-based storage of fixed content data and associated metadata. According to the storage method, an association or “link” between a first cluster and a second cluster is first established to facilitate replication. The first cluster is sometimes referred to as a “primary” whereas the “second” cluster is sometimes referred to as a “replica.” Once the link is made, the first cluster's fixed content data and metadata are then replicated from the first cluster to the second cluster, preferably in a continuous manner. Upon a failure of the first cluster, however, a failover operation occurs, and clients of the first cluster are redirected to the second cluster. Upon repair or replacement of the first cluster (a “restore”), the repaired or replaced first cluster resumes authority for servicing the clients of the first cluster. This restore operation preferably occurs in two stages: a “fast recovery” stage that involves preferably “bulk” transfer of the first cluster metadata, following by a “fail back” stage that involves the transfer of the fixed content data. Upon receipt of the metadata from the second cluster, the repaired or replaced first cluster resumes authority for the clients irrespective of whether the fail back stage has completed or even begun.

In one example, an apparatus and method are provided for summarizing (or selecting a representative subset from) a collection of media objects. A method includes selecting a subset of media objects from a collection of geographically-referenced (e.g., via GPS coordinates) media objects based on a pattern of the media objects within a spatial region. The media objects may further be selected based on (or be biased by) various social aspects, temporal aspects, spatial aspects, or combinations thereof relating to the media objects and/or a user. Another method includes clustering a collection of media objects in a cluster structure having a plurality of subclusters, ranking the media objects of the plurality of subclusters, and selection logic for selecting a subset of the media objects based on the ranking of the media objects.

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

A system and method for data storage in an array. A system includes a client coupled to a storage subsystem including data storage locations addressable as rows and columns in an array. Each column comprises a separate storage device. Each row includes redundant data. For a given row, a coordinating storage device coordinates the computation and storage of redundant data. The system detects a failure of a storage region and in response, configures an overlay storage device to temporarily overlay the failed region, maintains an association between the overlay device and the failed region, and maintains a record of changes made to the overlay device while the region is in a failed state. In response to detecting that the failed region has been restored, the system uses the association to identify the overlay device and uses the record of changes made to the overlay device to resynchronize the failed region.

An archive cluster application runs in a distributed manner across a redundant array of independent nodes. Each node preferably runs a complete archive cluster application instance. A given nodes provides a data repository, which stores up to a large amount (e.g., a terabyte) of data, while also acting as a portal that enables access to archive files. Each symmetric node has a set of software processes, e.g., a request manager, a storage manager, a metadata manager, and a policy manager. The request manager manages requests to the node for data (i.e., file data), the storage manager manages data read/write functions from a disk associated with the node, and the metadata manager facilitates metadata transactions and recovery across the distributed database. The policy manager implements one or more policies, which are operations that determine the behavior of an “archive object” within the cluster. The archive cluster application provides object-based storage. Preferably, the application permanently associates metadata and policies with the raw archived data, which together comprise an archive object. Object policies govern the object's behavior in the archive. As a result, the archive manages itself independently of client applications, acting automatically to ensure that all object policies are valid.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

Methods, systems, and computer program products for grouping tabbed portions of a display object based on content relationships and user interaction levels are disclosed. According to one method, a display object including one or more tabbed portions is provided for display via a computer display device. A level of user interaction associated with each of the tabbed portions is monitored. User input for adding new information to the display object is received. A level of content relationship between the new information and the information including in the at least one of the tabbed portions is determined. A new tabbed portion is created and grouped with the at least one tabbed portion based on the determined level of content relationship and the level of user interaction associated with the at least one tabbed portion.

The system receives three sets of inputs: program class definitions, a set of rules, and additional class definitions to be merged with the program class definitions. There are three types of rules: the first rule is used to substitute the allocation of an object of a new class for the allocation of the object based on an original class; the second rule is used to change code that allocates an object of an original class to code that calls a static method that allocates the object of the original class; and the third rule is used to a replace a new static field for an original static field. The system separately reads each of the original class definitions into a class data structure and performs the modifications to the class data structure according to the set of rules. The resulting class data structure is written to an output stream.

In a remote operation monitoring system and the like, it is a video processing apparatus capable of intuitively grasping an object operated by an operator and an operation result. The video processing apparatus includes a unit (310, 320, 2104, 2202) for storing information about at least one object displayed on a screen of a display unit; a unit (12, 2105) for designating information about the object; a unit (300, 2201) for searching the store unit based upon the designated information, and for obtaining information within the store unit corresponding to the designated information; and also a unit (20, 2103) for performing a process related to the object based on the obtained information. An operator can readily grasp an object to be operated and a result.

A verification system which can be used over electronic networks, such as the Internet, to help prevent phishing, electronic identity theft, and similar illicit activities, by verifying the authenticity of electronic entities (for example, websites). Users and electronic entities register with an authenticating entity. The authenticating entity shares an encryption method with registered electronic entities and establishes a secret code for each registered electronic entity. The secret code is combined with other information and encrypted before being transmitted over the network to ensure that the secret code cannot be compromised. Also disclosed are systems for virtual token devices, which provided object-based authentication without a physical device. Also disclosed are dynamic media credentials, which display nearly-unique behavior, previously specified and known to a user, to assist in verifying the authenticity of the presenter.

An imaging system for automated segmentation and visualization of medical images (100) includes an image processing module (107) for automatically processing image data using a set of directives (109) to identify a target object in the image data and process the image data according to a specified protocol, a rendering module (105) for automatically generating one or more images of the target object based on one or more of the directives (109) and a digital archive (110) for storing the one or more generated images. The image data may be DICOM-formatted image data (103), wherein the imaging processing module (107) extracts and processes meta-data in DICOM fields of the image data to identify the target object. The image processing module (107) directs a segmentation module (108) to segment the target object using processing parameters specified by one or more of the directives (109).

In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: receiving real-time traffic environment visual input from a camera; determining, using a ROLO engine, at least one initial region of interest from the real-time traffic environment visual input by using a CNN training method; verifying the at least one initial region of interest to determine if a detected object in the at least one initial region of interest is a candidate object to be tracked; using LSTMs to track the detected object based on the real-time traffic environment visual input, and predicting a future status of the detected object by using the CNN training method; and determining if a warning signal is to be presented to a driver of a vehicle based on the predicted future status of the detected object.

In a first aspect, a system for monitoring a swing is provided that includes (1) a swing measurement device adapted to couple to a swinging object and to output a signal indicative of a characteristic of the swinging object; (2) a wireless transmitter coupled to the swing measurement device and adapted to wirelessly transmit the signal output by the swing measurement device; and (3) a wireless device adapted to receive the wirelessly transmitted signal and to provide information regarding the swinging object based on the received signal. The wireless device is a cellular telephone or personal digital assistant (PDA). Numerous other aspects are provided.

The present application discloses a remote control method and apparatus for controlling the state of a movable object and/or a load carried thereon. The remote control method comprising: receiving, via an apparatus, a state signal that corresponds to a user's position; remote-controlling the state of the a load being carried on a movable object based on the state signal; wherein the state of the load is the result of combining the movement of the load relative to the movable object and the movement of the object relative to its environment. For example, the control of the state can be achieved through the state of the apparatus itself, a user's state captured by an apparatus, a graphical interface on a screen of an apparatus, or a voice command.

A three-dimensional object imaging device comprises a compound-eye imaging unit and an image reconstructing unit for reconstructing an image of a three-dimensional object based on multiple unit images captured by the imaging unit. Based on the unit images obtained by the imaging unit, the image reconstructing unit calculates a distance (hereafter “pixel distance”) between the object and the imaging unit for each pixel forming the unit images, and rearranges the unit images pixel-by-pixel on a plane at the pixel distance to create a reconstructed image. Preferably, the image reconstructing unit sums a high-frequency component reconstructed image created from the multiple unit images with a lower noise low-frequency component unit image selected from low-frequency component unit images created from the multiple unit images so as to form a reconstructed image of the three-dimensional object. This makes it possible to obtain a reconstructed image with high definition easily by a simple process.

A system and method for generating a mixed-reality environment is provided. The system and method provides a user-worn sub-system communicatively connected to a synthetic object computer module. The user-worn sub-system may utilize a plurality of user-worn sensors to capture and process data regarding a user's pose and location. The synthetic object computer module may generate and provide to the user-worn sub-system synthetic objects based information defining a user's real world life scene or environment indicating a user's pose and location. The synthetic objects may then be rendered on a user-worn display, thereby inserting the synthetic objects into a user's field of view. Rendering the synthetic objects on the user-worn display creates the virtual effect for the user that the synthetic objects are present in the real world.

An on-board radar apparatus includes an antenna unit configured by combining one of a lens and a reflector, and a plurality of antenna elements, a transmission and reception unit configured to emit a radio wave using, for at least one of transmission or reception, a partial antenna of a plurality of patterns configured by the antenna elements that are part of the plurality of antenna elements, and to receive a reflection wave obtained by reflection of the radio wave from an object, and a detection unit configured to detect the object based on the reflection wave received by the transmission and reception unit.

Methods of imaging objects based on wavelet retrieval of scenes utilize wavelet transformation of plural defined regions of a query image. By increasing the granularity of the query image to greater than one region, accurate feature vectors are obtained that allow for robust extraction of corresponding regions from a database of target images. The methods further include the use of sliding windows to decompose the query and target images into regions, and the clustering of the regions utilizing a novel similarity metric that ensures robust image matching in low response times.

In a method and a device for partial encryption and progressive transmission of images, a first section of the image file is compressed at reduced quality without decryption, and a second section of the image file is encrypted. Users having access to appropriate decryption keywords can decrypt this second section. The first section together with the decrypted second section can then be viewed as a full quality image. The storage space required for storing the first and section together is essentially the same as the storage space required for storing the unencrypted full quality image. By using the method and device as described herein storage and bandwidth requirements for partially encrypted images is reduced. Furthermore, object based composition and processing of encrypted objects are facilitated, and ROIs can be encrypted. Also, the shape of a ROI can be encrypted and the original object can be decrypted and restored in the compressed domain.