Abstract: A multi-user flexible Ethernet fine granularity time slot allocation method and apparatus. The method is specifically: providing two time slot resource allocation and deployment schemes according to user demands, where the first scheme performs time slot allocation based only on an objective of global minimization of jitter of time slot allocated to all the users and can improve resource allocation equity and improve whole performance of a network. The second scheme performs weighted sum of delay and jitter minimization based time slot allocation on each user according to the quantity of time slots required for the users in sequence from large to small on the premise of most user input data in the current time slot assignment period being transmitted in the current time slot assignment period.

Abstract: The present application discloses a visual enhancement method and a system based on fusion of spatially aligned features of multiple networked vehicles. The method utilizes the visual features of networked vehicles themselves and their surroundings within a certain range, and performs feature fusion after spatial alignment to realize visual expansion and enhancement. After receiving the compressed intermediate feature map of the networked vehicles in a certain range around, the decompressed intermediate feature map is subjected to affine transformation, and the transformed aligned feature map is subjected to feature fusion based on a designed multi-feature self-learning network, so as to realize the complementation and enhancement among features while removing redundant features. The fused intermediate features are used to detect the target obstacles from the perspective of the networked vehicle itself and partially or completely blocked, thus improving the safety of driving connected vehicles.

Abstract: A method for determining a presence of arthritis in a patient, including obtaining a first image of a patient's joint, wherein the first image is a visible light image, obtaining a second image of the patient's joint, wherein the second image is a thermal light image, determining an outline of the patient's joint from the first image, determining an outline of a reference area from the first image, wherein the patient's joint is adjacent to the reference area, determining a first representative topological temperature within the outline of the patient's joint of the first image from the second image, determining a second representative topological temperature within the outline of the reference area of the first image from the second image, comparing the first representative topological temperature and the second representative topological temperature; and determining a likelihood of the presence of arthritis within the patient's joint.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which an end user device sends a first request to a digital video recorder (DVR) to receive a media content item, and receives a metadata file including authentication information and a network address of a media content server where the media content item is located. The end user device sends a second request to the media content server to receive the media content item; the second request is sent to the network address and includes the authentication information and an identification of the requested media content item. The end user device receives the media content item from the media content server, responsive to the authentication information and the identification of the media content item sent in the second request. Other embodiments are disclosed.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: Aspects of the subject disclosure may include, for example, a method in which an end user device sends a first request to a digital video recorder (DVR) to receive a media content item, and receives a metadata file including authentication information and a network address of a media content server where the media content item is located. The end user device sends a second request to the media content server to receive the media content item; the second request is sent to the network address and includes the authentication information and an identification of the requested media content item. The end user device receives the media content item from the media content server, responsive to the authentication information and the identification of the media content item sent in the second request. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which an end user device sends a first request to a digital video recorder (DVR) to receive a media content item, and receives a metadata file including authentication information and a network address of a media content server where the media content item is located. The end user device sends a second request to the media content server to receive the media content item; the second request is sent to the network address and includes the authentication information and an identification of the requested media content item. The end user device receives the media content item from the media content server, responsive to the authentication information and the identification of the media content item sent in the second request. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a system that provides for obtaining, by a server comprising a processor, network parameter data from an eNodeB of a wireless network. The server can determine a predicted bandwidth for a group of end user devices in a coverage area of the eNodeB according to the network parameter data. The server can receive, from an end user device of the group of end user devices, a request for the predicted bandwidth. The server can provide the predicted bandwidth to the end user device. The providing of the predicted bandwidth enables the end user device to provide a video chunk request to a content server that is based on a selected chunk delivery schedule and facilitates streaming of video content to the end user device from the content server. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising: sending by an end user device, to a digital video recorder, a first request to receive a requested media content item; receiving by the end user device, responsive to the sending of the first request, a metadata file, wherein the metadata file comprises authentication information and a network address of a media content server where the requested media content item is located; sending to the media content server by the end user device, responsive to the receiving of the metadata file, a second request to receive the requested media content item, wherein the second request is sent to the network address, wherein the second request comprises the authentication information contained in the metadata file, and wherein the second request comprises an identification of the requested media content item; and receiving by the end user device, responsive to the authentication information and the identification of the requested media content

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for estimating the streaming rate at which data is delivered over a network. For instance, in one example, a data packet is intercepted from a data streaming session conducted between a first device and a second device connected over a network. A size of a file segment contained in the data packet is calculated. The file segment corresponds to a portion of an item of multimedia content being delivered via the data streaming session. The encoding rate of the data streaming session is then calculated based at least in part on the size of the file segment.

Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.