Method and device with intelligent media management

    公开(公告)号:US11451599B2

    公开(公告)日:2022-09-20

    申请号:US16907815

    申请日:2020-06-22

    摘要: A method (300) and device (200) with intelligent media management is disclosed. The method (300) can include: streaming (310) media content in a wireless communication device; identifying (320) a media signature of the streamed media content; searching (330) a stored library for the identified media signature; and playing (340) locally stored media content, if the search results in finding a match with the identified media signature in the stored library. Thus, when a match occurs, locally stored media content replaces the streamed media content, to provide substantially lower power consumption and enhanced battery life in connection with wireless communication devices.

    Alert peripheral for notification of events occurring on a programmable user equipment with communication capabilities

    公开(公告)号:US11382063B2

    公开(公告)日:2022-07-05

    申请号:US16858958

    申请日:2020-04-27

    摘要: An alert peripheral device that provides sensory notification to a user of the device includes: a power subsystem; a communication mechanism by which notification signals is received from a first user equipment (UE) that generates and transmits the notification signals in response to detection of specific events at the first UE; and a response notification mechanism that provides a sensory response of the peripheral device following receipt of a notification of a detected event (NDE) signal. The device further includes an embedded controller coupled to each of the other components and which includes firmware that when executed on the embedded controller configures the embedded controller to: establish a communication link between the communication mechanism and the first UE; and in response to detecting a receipt of the NDE signal from the first UE, trigger the response notification mechanism to exhibit the sensory response.

    IDENTIFYING MEDIA ON A MOBILE DEVICE

    公开(公告)号:US20220103878A1

    公开(公告)日:2022-03-31

    申请号:US17492872

    申请日:2021-10-04

    摘要: Disclosed is a method of associating, at a secondary device, secondary media content with primary media content being output at a primary device. The method includes receiving, at the secondary device, first information based upon the primary content being output at the primary device, wherein the first information includes at least one of an audio and a visual signal, determining at the secondary device second information corresponding to the first information, receiving at the secondary device one or more portions of secondary media content that have been made available by a third device, determining at the secondary device whether one or more of the portions of the secondary media content match one or more portions of the second information, and taking at least one further action upon determining that there is a match.

    Enhanced Image Capture
    16.
    发明申请

    公开(公告)号:US20210243363A1

    公开(公告)日:2021-08-05

    申请号:US17234257

    申请日:2021-04-19

    IPC分类号: H04N5/232 H04N1/00 H04N1/21

    摘要: Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

    APPARATUS AND METHOD FOR POWER EFFICIENT SIGNAL CONDITIONING FOR A VOICE RECOGNITION SYSTEM

    公开(公告)号:US20210125607A1

    公开(公告)日:2021-04-29

    申请号:US17143472

    申请日:2021-01-07

    摘要: A disclosed method includes monitoring an audio signal energy level while having a noise suppressor deactivated to conserve battery power, buffering the audio signal in response to a detected increase in the audio energy level, activating and running a voice activity detector on the audio signal in response to the detected increase in the audio energy level and activating and running a noise estimator in response to voice being detected in the audio signal by the voice activity detector. The method may further include activating and running the noise suppressor only if the noise estimator determines that noise suppression is required. The method activates and runs a noise type classifier to determine the noise type based on information received from the noise estimator and selects a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.

    Method and apparatus for estimating variability of background noise for noise suppression

    公开(公告)号:US10896685B2

    公开(公告)日:2021-01-19

    申请号:US15684013

    申请日:2017-08-23

    摘要: An electronic device measures noise variability of background noise present in a sampled audio signal, and determines whether the measured noise variability is higher than a high threshold value or lower than a low threshold value. If the noise variability is determined to be higher than the high threshold value, the device categorizes the background noise as having a high degree of variability. If the noise variability is determined to be lower than the low threshold value, the device categorizes the background noise as having a low degree of variability. The high and low threshold values are between a high boundary point and a low boundary point. The high boundary point is based on an analysis of files including noises that exhibit a high degree of variability, and the low boundary point is based on an analysis of files including noises that exhibit a low degree of variability.