Abstract: An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.

Abstract: A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Abstract: A venue-cast system and method for providing and receiving venue level transmissions and services, including discovery of a venue specific transmission by receiving an overhead signal from a non-venue network, extracting information for receiving the venue specific transmission from the overhead signal, and tuning to receive the venue specific transmission based on the extracted information. The venue level transmission may be provided and received in a manner that does not prevent an access terminal from receiving a local area or wide area transmission.

Abstract: A mobile platform efficiently processes sensor data, including image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires sensor data, such as image data, and determines whether there is a trigger event to transmit the sensor data to the server. The trigger event may be a change in the sensor data relative to previously acquired sensor data, e.g., a scene change in an image. When a change is present, the sensor data may be transmitted to the server for processing. The server processes the sensor data and returns information related to the sensor data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Abstract: A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Abstract: A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.

Abstract: An apparatus and method for generating parameters for an application, such as an augmented reality application (AR app), using camera pose and gyroscope rotation is disclosed. The parameters are estimated based on pose from images and rotation from a gyroscope (e.g., using least-squares estimation with QR factorization or a Kalman filter). The parameters indicate rotation, scale and/or non-orthogonality parameters and optionally gyroscope bias errors. In addition, the scale and non-orthogonality parameters may be used for conditioning raw gyroscope measurements to compensate for scale and non-orthogonality.

Abstract: Reference free tracking of position by a mobile platform is performed using images of a planar surface. Tracking is performed optical flow techniques, such as pyramidal Lucas-Kanade optical flow with multiple levels of resolution, where displacement is determined with pixel accuracy at lower resolutions and at sub-pixel accuracy at full resolution, which improves computation time for real time performance. Periodic drift correction is performed by matching features between a current frame and a keyframe. The keyframe may be replaced with the drift corrected current image.

Abstract: A venue-cast system and method for providing and receiving venue level transmissions and services, including discovery of a venue specific transmission by receiving an overhead signal from a non-venue network, extracting information for receiving the venue specific transmission from the overhead signal, and tuning to receive the venue specific transmission based on the extracted information. The venue level transmission may be provided and received in a manner that does not prevent an access terminal from receiving a local area or wide area transmission.

Abstract: An apparatus and method for generating parameters for an application, such as an augmented reality application (AR app), using camera pose and gyroscope rotation is disclosed. The parameters are estimated based on pose from images and rotation from a gyroscope (e.g., using least-squares estimation with QR factorization or a Kalman filter). The parameters indicate rotation, scale and/or non-orthogonality parameters and optionally gyroscope bias errors. In addition, the scale and non-orthogonality parameters may be used for conditioning raw gyroscope measurements to compensate for scale and non-orthogonality.

Abstract: Methods and circuits for positioning a signal sampling window within a wireless receiver device for use in a multi-transmitter wireless broadcast network include generating a long channel model based upon a signal identifying transmitters that can be processed without aliases, and positioning the signal sampling window based upon the long channel model. For example, in a MediaFLO® broadcast, the long channel model may be generated by receiving positioning pilot channel (PPC) signals. Positions for the signal sampling window may be determined by identifying hypothetical signal sampling window positions, calculating signal to interference and noise ratio (SINR) values for each identified hypothetical, and selecting the hypothetical with the best SINR. Using a long channel model to position the signal sampling window may provide improved window placement, reduce destructive aliasing, and reduce a time guard in the window placement. The long channel model may be used in conjunction with terrain databases.

Abstract: A venue-cast system and method for providing and receiving venue level transmissions and services, including discovery of a venue specific transmission by receiving an overhead signal from a non-venue network, extracting information for receiving the venue specific transmission from the overhead signal, and tuning to receive the venue specific transmission based on the extracted information. The venue level transmission may be provided and received in a manner that does not prevent an access terminal from receiving a local area or wide area transmission.

Abstract: Methods and devices for encoding and interleaving data packets for broadcast and for de-interleaving and decoding data packets in a communication system eliminate detrimental biasing effects by using pseudo-random M-sequence bit encoding as part of the turbo encoding and decoding. The use of pseudo-random M-sequence bit encoding mitigates biasing effects that may otherwise be introduced if conventional r-c interleaving is applied to long turbo encoded data which would degrade reception in the presence of broadcast interference.

Abstract: Techniques for multiplexing multiple data streams using frequency division multiplexing (FDM) in an OFDM system are described. M disjoint “interlaces” are formed with U usable subbands. Each interlace is a different set of S subbands, where U=M·S. The subbands for each interlace are interlaced with the subbands for each of the other M?1 interlaces. M slots may be defined for each symbol period and assigned slot indices 1 through M. The slot indices may be mapped to interlaces such that (1) frequency diversity is achieved for each slot index and (2) the interlaces used for pilot transmission have varying distances to the interlaces used for each slot index, which improves channel estimation performance. Each data stream may be processed as data packets of a fixed size, and different numbers of slots may be used for each data packet depending on the coding and modulation scheme used for the data packet.

Abstract: An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.

Abstract: Reference free tracking of position by a mobile platform is performed using images of a planar surface. Tracking is performed optical flow techniques, such as pyramidal Lucas-Kanade optical flow with multiple levels of resolution, where displacement is determined with pixel accuracy at lower resolutions and at sub-pixel accuracy at full resolution, which improves computation time for real time performance. Periodic drift correction is performed by matching features between a current frame and a keyframe. The keyframe may be replaced with the drift corrected current image.

Abstract: To broadcast different types of transmission having different tiers of coverage in a wireless broadcast network, each base station processes data for a wide-area transmission in accordance with a first mode (or coding and modulation scheme) to generate data symbols for the wide-area transmission and processes data for a local transmission in accordance with a second mode to generate data symbols for the local transmission. The first and second modes are selected based on the desired coverage for wide-area and local transmissions, respectively. The base station also generates pilots and overhead information for local and wide-area transmissions. The data, pilots, and overhead information for local and wide-area transmissions are multiplexed onto their transmission spans, which may be different sets of frequency subbands, different time segments, or different groups of subbands in different time segments. More than two different types of transmission may also be multiplexed and broadcast.

Abstract: A mobile platform efficiently processes sensor data, including image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires sensor data, such as image data, and determines whether there is a trigger event to transmit the sensor data to the server. The trigger event may be a change in the sensor data relative to previously acquired sensor data, e.g., a scene change in an image. When a change is present, the sensor data may be transmitted to the server for processing. The server processes the sensor data and returns information related to the sensor data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Abstract: A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.

Abstract: Methods and circuits for positioning a signal sampling window within a wireless receiver device for use in a multi-transmitter wireless broadcast network include generating a long channel model based upon a signal identifying transmitters that can be processed without aliases, and positioning the signal sampling window based upon the long channel model. For example, in a MediaFLO® broadcast, the long channel model may be generated by receiving positioning pilot channel (PPC) signals. Positions for the signal sampling window may be determined by identifying hypothetical signal sampling window positions, calculating signal to interference and noise ratio (SINR) values for each identified hypothetical, and selecting the hypothetical with the best SINR. Using a long channel model to position the signal sampling window may provide improved window placement, reduce destructive aliasing, and reduce a time guard in the window placement. The long channel model may be used in conjunction with terrain databases.