Intel Corporation

Mti Film, LLC

Chengda Yang

Matthew James Adiletta

William Ralph Wheeler

Myles Wilde

Aaron Gorius

Michael F Fallon

Amit Kumar

Kevin Manbeck

Donald Geman

Stuart Geman

Bradley A Burres

Paul H Dormitzer

Johan G Van De Groenendaal

Douglas Carrigan

Thomas M Garrison

Thomas Garrison

All in one mobile computing devices and methods performed by the devices. The all in one mobile computing device includes a processor, memory, and software instructions configured to be executed on the processor to enable the mobile computing device to perform various operations. The all in one device may include various wired and wireless interfaces that enable it to communicate with a wide-range of devices, including smartphones, tablets, laptops, personal computers, smart TVs, and others. The all in one device is capable of being remotely accessed when linked in communication with a second device, and is enabled to aggregate data from various user devices and cloud-based services to create unified data resources. Data that is accessed by the device may be synched with a cloud-based storage service to enable a user to access data from across a range of devices via the all in one device. The all in one device has a form factor that is approximately the size of a credit card, yet is capable of running a full-fledged desktop operating system.

All in one mobile computing device

Techniques for implementing assess to Android applications and native Window application on Android devices and systems. A processor board includes a processor that is configured to run a full version of a Windows operating system and Windows applications. The processor board is configured to be communicatively coupled to the processor board in an Android device, such as a Smartphone or tablet. Upon operations and when the processor board is communicatively coupled to the Android device, a user of the Android device is enabled to selectively run Android applications and Windows applications, with the Windows applications being executed natively on the processor board. The processor board may be implemented in a computing card that is approximately the size of a credit card or smaller, which in turn may be coupled to the Android device via a backpack or similar means. The processor board may also be disposed within the same housing as the Android device.

Integrated android and windows device

Mobile computing device technology and systems and methods using the same are described herein. In particular, mobile computing devices that may serve as a processing component of a disaggregated computing system described, non-integral screens that may be paired with the mobile computing devices, and systems and methods using such devices and screens are described. In some embodiments, the mobile computing device technology includes a mobile computing device that lacks an integral screen, but which is capable of throwing at least video information to a non-integral target screen, e.g., via a paired connection established over a wired or wireless communication interface.

Mobile computing device technology and systems and methods utilizing the same

An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames by marking the last frame as the present no-event frame if the difference between adjacent pair of video frames is less than a threshold value. The EAVS may establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame is greater than the threshold value. The EAVS may provide event information including motion vectors to a central computing system by performing one-dimensional search on a moving object of the event frame, wherein the motion vectors may represent displacement of objects moving within the moving object.

Estimating motion of an event captured using a digital video camera

An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a no-event frame by marking a last frame as the no-event frame if the difference between adjacent pair of video frames is less than a threshold value. The EVAS may mark a present frame captured after establishing the no-event frame as the event frame if the difference between the present and a previous frame is greater than the threshold value. The EAVS may provide event information to the central computing system by performing temporal blending, which includes linearly combining the movement of objects within the moving object in adjacent event frames to generate blurred images. The difference between the blurred images may represent displacement of objects moving within the moving object.

A SATA-compatible storage controller that can be configured to allow computers assigned to multiple different computer domains connected by at least one switch fabric to share resources of a common set of storage devices. The storage controller includes a plurality of virtual storage controllers, each providing an interface to a respective computer domain connected to the switch fabric, a virtualization mechanism configured to implement link layer virtualization for the common set of storage devices, and a split serial advanced technology attachment (SATA) protocol stack, the processing of which is partitioned between the respective virtual storage controllers and the virtualization mechanism.

Link layer virtualization in SATA controller

An event aware video system (EAVS) is to capture video frames during a first time period and process event portion of the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames, wherein a last frame of the video frames is marked as the present no-event frame if the difference between adjacent pair of frames of the video frames is less than a threshold value. The EAVS may establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame captured prior to the present frame is greater than the threshold value. The EAVS may generate the processed data by processing the event of the event frame.

Capturing event information using a digital video camera

A remotely managed expandable multi-user computer system is provided. The computer system includes a removable compute cartridge and a removable storage cartridge allowing easy upgrade of the computer system. The computer system self-configures when powered on to allow remote management by another system over a network. Automatic failover support is provided without the need for a separate compute element. A self-configurable removable secure-to-wireless converter to couple to a client computer system allows secure communications between the multi-user system and the client computer system via a wireless network.

Method and apparatus for providing a remotely managed expandable computer system

A method and apparatus to provide network buffer descriptors grouped by memory page into page groups and access a list of the page groups to manage the allocation and de-allocation of the network buffers descriptors is presented.

Page-aware descriptor management

A method and computer program product for reformatting at least a portion of a digital source image. The digital source image has a number of pixels defining an original format which is to be converted to a destination image in a new format having a number of pixels. The number of pixels of the new format is greater than the number of pixels in the original format. A gradient is estimated at a point within a window which encompasses a plurality of intensity values from the source image. A polynomial is then used to determine a value for the point in the new format within the window. The polynomial is based in part upon the gradient. Values are then determined for additional points in the destination image by selecting a new window and repeating the acts of estimating a gradient and using a polynomial to determine a value.

Format conversion

A method for determining labels for video fields by identifying the state of the field is disclosed. Some examples of a video field's state include the origin of the field as film or video, its relative location with respect to edit points, and in the case of film-originating material, the location within the standard sequential pattern which results from converting film to video. To determine the label of a video field, the conditional probability distribution for a particular sequence of states given the entire video sequence is calculated. This may be optimized by using dynamic programing to maximize the conditional probability function and thus the labels. To determine the conditional probability, first the joint probability distribution is determined for the observed video fields and the states. This joint probability is calculated by creating a data model and a structure model for the video sequence. From the joint probability distribution an equation representing the conditional probability of having a particular sequence of states given a particular video field is determined. By maximizing this distribution over all states, which may be performed through dynamic programming the most likely state is determined which is consistent with the given video sequence data. Once the states are determined, labels corresponding to the states may be inserted within the video sequence.

Video field labeling

A method for reordering an edited digital video sequence composed of digital video fields from multiple sources is disclosed. When the digital video sequence is reordered temporal cadence is provided which will allow for the conversion to a digital film format through a reverse 3:2 pulldown. Let F &equals;(F ,F , . . . ,F ) be the given edited sequence of video fields. In one embodiment, the method calculates an instruction set which is then used to transform F into a new sequence of video fields, denoted F , where most of the fields in F come from F and the remaining fields are &ldquo;upconverted&rdquo; fields from F . This reconstitution of F is obtained by optimizing a set of instructions based on various constraints which express the characteristics of the pattern AaBbBcCdDd. By assigning a cost to each violation of the constraints, and to each disruption of the natural flow of time, and to other undesirable properties, a real-valued function is constructed. This real valued function can then be optimized through dynamic programming.

Growing community of inventors

Auburndale, MA, United States of America

Chengda Yang