CN108495186B - Video marking method, video marking device, electronic equipment and computer readable storage medium - Google Patents
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
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Abstract
The embodiment of the application discloses a video marking method and a related product, which are applied to electronic equipment, wherein the electronic equipment comprises a brain wave sensor, and the method comprises the following steps: acquiring a first brain wave signal of a target user through the brain wave sensor; determining a first distance between the target user and the electronic equipment according to the first brain wave signal; and if the first distance is greater than a first distance threshold value, marking the playing time point of the target video which is currently played. By the method and the device, the played video can be marked through the brain wave signal, and the intelligence and the accuracy of the played video of the electronic equipment are improved.
Description
Technical Field
The application relates to the technical field of electronic equipment, and mainly relates to a video marking method and a related product.
Background
With the continuous development of the technology of electronic devices (such as mobile phones, computers, tablet computers, etc.), the use of electronic devices is more and more popular, and the video playing is more and more intelligent, for example: barrage, skip leader or trailer, speed up play, etc. When a user watches videos, some fragments are inevitably missed, the return playing is manually performed, the convenience of operation is insufficient, and the accurate playback is difficult.
Disclosure of Invention
The embodiment of the application provides a video marking method and a related product, which can improve the intelligence and accuracy of playing videos by electronic equipment.
In a first aspect, an embodiment of the present application provides a video marking method, which is applied to an electronic device including a brain wave sensor, and the method includes:
acquiring a first brain wave signal of a target user through the brain wave sensor;
determining a first distance between the target user and the electronic equipment according to the first brain wave signal;
and if the first distance is greater than a first distance threshold value, marking the playing time point of the target video which is currently played.
In a second aspect, an embodiment of the present application provides an electronic device, including a processor, a brain wave sensor connected to the processor, and a memory, wherein:
the memory is used for storing a first distance threshold value;
the brain wave sensor is used for acquiring a first brain wave signal of a target user;
the processor is used for determining a first distance between the target user and the electronic equipment according to the first brain wave signal; and if the first distance is greater than the first distance threshold, marking the playing time point of the target video which is currently played.
In a third aspect, an embodiment of the present application provides a video marking apparatus applied to an electronic device, where the electronic device includes a brain wave sensor, the apparatus includes:
the acquisition unit is used for acquiring a first brain wave signal of a target user through the brain wave sensor;
a determination unit configured to determine a first distance between the target user and the electronic device from the first brain wave signal;
and the processing unit is used for marking the playing time point of the currently played target video if the first distance is greater than a first distance threshold.
In a fourth aspect, embodiments of the present application provide another electronic device, including a processor, a memory, a brain wave sensor, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for some or all of the steps as described in the first aspect.
In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, where the computer program makes a computer perform part or all of the steps as described in the first aspect of the present application.
In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
after the video marking method and the related products are adopted, the first brain wave signal of the target user is collected through the brain wave sensor of the electronic equipment, the first distance between the target user and the electronic equipment is determined according to the first brain wave signal, and when the first distance is larger than the first distance threshold value, the playing time point of the target video which is being played by the electronic equipment is marked, so that video segments which can not be seen by the target user are marked, and the intelligence and the accuracy of the video played by the electronic equipment are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic view of a wearable device acquiring brain wave signals according to an embodiment of the present disclosure;
fig. 1C is a schematic view of a scene in which an electrode array collects brain wave signals according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a video tagging method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another video marking method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a video marking apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and may also include various forms of User Equipment (UE), Mobile Station (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The following describes embodiments of the present application in detail.
The embodiment of the application provides a video marking method and a related product, which can improve the intelligence and accuracy of playing videos by electronic equipment. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device provided in the present application. As shown in fig. 1A, the electronic device 100 includes: the brain wave monitoring device comprises a shell 110, a radio frequency circuit 120 arranged in the shell 110, a processor 140, a memory 150, a brain wave sensor 160 and a display screen 130 arranged on the shell 110. Wherein the radio frequency circuit 120, the memory 150, the brain wave sensor 160 and the display 130 are connected to the processor 140.
The brain wave sensor 160 is configured to collect brain wave signals, and brain waves (EEG) are physiological index records formed by summing postsynaptic potentials generated by a plurality of neurons in synchronization when the brain is moving, record electrical wave changes during brain activities, and are a general reflection of electrophysiological activities of brain neurons on the surface of the cerebral cortex or scalp.
The human brain can generate own brain waves when in rest, work or entertainment, the frequency variation range of the brain waves is usually between 0.1Hz and 30Hz, and the brain waves can be divided into four wave bands, namely delta waves (1 to 4Hz), theta waves (4 to 8Hz), alpha waves (8 to 13Hz) and beta waves (13 to 30 Hz). The 4 waves can be further divided, for example: beta waves include low-beta waves (13-15 Hz), midrange waves (15-20 Hz) and high-beta waves (20-30 Hz). The 4 waves have close relationship with various physiological and psychological activities of human, such as: delta waves are a depth-wise, stress-free, subconscious state; theta wave is a mental state of deep sleep, non-rapid eye movement sleep and unconsciousness; beta wave is mental state of tension, pressure and brain fatigue; alpha wave is a relaxed but not listened, quiet, conscious mental state, and is the best state for learning and thinking. In addition, when the user is awake and focuses on a certain fact, a gamma wave with a frequency higher than that of a beta wave is often seen, the frequency is 30-80 Hz, and the amplitude range is indefinite; while other normal brain waves with special waveforms, such as camel peak waves, sigma waves, lambda waves, kappa-complex waves, mu waves, etc., can also appear during sleep.
The processor 140 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 150 and calling data stored in the memory 150, thereby integrally monitoring the electronic device.
The memory 150 may be used to store software programs and functional modules, and the processor 140 executes various functional applications and data processing of the electronic device by operating the software programs and functional modules stored in the memory 150.
The radio frequency circuit 120 comprises a receiver 122, a signal processing module 123 connected to the receiver 122, and a transmitter 121 connected to the signal processing module 123, wherein: the receiver 122 is used for receiving information sent by the external or processor 140, the signal processing module 123 is used for processing information received by the transmitter, and the transmitter 121 is used for sending information acquired by the signal processing module 123. In addition, the radio frequency circuit 120 may also communicate with networks and other devices via wireless communication. The present application is not limited to wireless communication, and may include global system for mobile communications (GSM), General Packet Radio Service (GPRS), email, Short Messaging Service (SMS), and the like.
In the present application, the memory 150 is configured to store a first distance threshold; the brain wave sensor 160 is used for acquiring a first brain wave signal of a target user; the processor 140 is configured to determine a first distance between the target user and the electronic device according to the first brain wave signal; and if the first distance is larger than a first distance threshold value, marking the playing time point of the target video which is currently played.
It can be understood that the first brain wave signal of the target user is acquired by the brain wave sensor 160 of the electronic device 100, the first distance between the target user and the electronic device 100 is determined according to the first brain wave signal, and when the first distance is greater than the first distance threshold, the playing time point of the target video being played by the electronic device 100 is marked, so that a video segment which may not be seen by the target user is marked, and the intelligence and accuracy of the electronic device 100 in playing the video are improved.
In one possible example, the memory 150 is further configured to store a mapping relationship set, where the mapping relationship set includes a plurality of sets of mapping relationships, each set of mapping relationships corresponds to an emotion, and each set of mapping relationships is a mapping relationship between signal strength and distance; in terms of the processor 140 determining the first distance between the target user and the electronic device from the first brain wave signal, the processor 140 is specifically configured to determine a target emotion of the target user from the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from the mapping relation set; and determining the first distance corresponding to the target signal strength according to the target mapping relation.
In one possible example, the target video includes a plurality of image frames, and in terms of determining the target emotion of the target user according to the first brain wave signal by the processor 140, the processor 140 is specifically configured to obtain a plurality of target keywords corresponding to the first brain wave signal; searching an image frame associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames; determining the target emotion from the plurality of target image frames.
In one possible example, the memory 150 is further configured to store a preset association threshold; the processor 140 is specifically configured to obtain a correlation value between the first brain wave signal and the target video; when the correlation value is larger than the preset correlation threshold value, determining the first distance according to the first brain wave signal.
In one possible example, the memory 150 is further configured to store a second distance threshold; after the processor 140 marks the playing time point of the target video currently being played, the brain wave sensor 160 is further configured to acquire a second brain wave signal of the target user; the processor 140 is further configured to determine a second distance between the target user and the electronic device according to the second brain wave signal; and if the second distance is smaller than the second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
The above electronic devices are only examples, and the present application is not limited thereto, and the display screen may include a full-screen, a double-sided screen, or a foldable flexible display screen, a virtual display screen, etc.; the memory can also comprise a high-speed random access memory and a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device or other volatile solid-state storage devices; the processor can be further refined into special purpose processors, such as: an Artificial Intelligence (AI) processor, an Application Processor (AP), a baseband processor, a brain wave processor, and the like; the radio frequency circuit includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
In addition, the electronic apparatus 100 includes sensors such as a light sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, input/output interfaces such as an audio input interface, a serial port, a keyboard, a speaker, and a charging interface, and a camera, a bluetooth module, and the like, which are not shown.
The specific form of the brain wave sensor 160 is not limited in the present application, and in addition to the brain wave sensor being integrated into the housing 110 of the electronic device 100 as shown in fig. 1A, as shown in fig. 1B, the brain wave sensor may be disposed in a wearable electronic device, and the wearable electronic device collects brain wave signals and establishes a connection with the electronic device 100 in a wired manner, so that the electronic device obtains the brain wave signals; the brain wave sensor shown in fig. 1C may be an electronic array that can be implanted or attached to the scalp of the target subject, and the electronic device acquires the brain wave signals by collecting the brain wave signals through the electronic array and establishing a connection with the electronic device 100 in a wireless manner. The wearable electronic device can also be connected to the electronic device 100 in a wireless manner, and the electronic array can also be connected to the electronic device 100 in a wired manner.
Specifically, referring to fig. 2, fig. 2 is a flowchart illustrating a video tagging method according to an embodiment of the present application, which can be applied to the electronic device described in fig. 1A. As shown in fig. 2, the video marking method includes:
201: a first brain wave signal of a target user is acquired through a brain wave sensor.
In the embodiment of the application, the target user may be a user of the electronic device or a designated user, and since the brain wave sensor may collect brain wave signals of a plurality of users, extraction needs to be performed according to feature information of the brain wave signals of the target user; the target user may be a user closest to the electronic device or a user with the strongest brain wave signal.
Optionally, when the target application is running, the brain wave sensor is executed to acquire the brain wave signal of the target user.
The target application may be any application in the electronic device, and may also be an application related to video playing, for example: applications that view video specifically, applications that can upload video, and the like. That is, when the electronic device meets the condition for running the target application, the brain wave signal is acquired, thereby avoiding wasting the power consumption of the electronic device.
It should be noted that, because the brain wave signals are weak and may contain some noise, a preprocessing operation may be performed before the brain wave signals are signal-processed, for example, the brain wave signals are weak, and the brain wave signals with a larger amplitude may be obtained by amplifying the brain wave signals, which facilitates data processing; the frequency of useful information in the brain wave signals is usually (0.5-100 Hz), other frequency components are introduced by noise to a great extent, and the filtering (or denoising) can reduce the useless information in the brain wave signals and improve the effectiveness of the brain wave signals; converting the collected brain wave signals into digital signals through analog-to-digital conversion; the brain wave signals of the target user can be obtained through signal separation, and because the brain wave signals of different people have larger specific difference in amplitude, the brain wave signals can be uniformly planned to the same scale through normalization processing.
202: determining a first distance between the target user and the electronic equipment according to the first brain wave signal.
Alternatively, the determining of the first distance between the target user and the electronic device according to the first brain wave signal may include the steps of a1-a 4:
a1: and determining the target emotion of the target user according to the first brain wave signal.
A2: and acquiring the target signal intensity corresponding to the first brain wave signal.
A3: and selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set.
A4: and determining the first distance corresponding to the target signal strength according to the target mapping relation.
The method for analyzing the brain wave signal is not limited in the embodiment of the present application, and may be a frequency domain analysis method, or a classical time-frequency domain combined analysis method, such as space-time pattern analysis, statistical analysis, spatial filtering, fast fourier transform, auto-regression model coefficients, coefficient mean and variance of wavelets and wavelet packets, bilingual estimation, hilbert yellow transform, and the like.
In this embodiment of the application, the first brain wave signal may be analyzed by using the analysis method described above, and the feature parameters obtained after the first brain wave signal is analyzed may be processed and then matched, so as to determine the target emotion of the target user.
Optionally, when the target video includes a plurality of image frames, the determining the target emotion of the target user from the first brain wave signal includes the following steps a11-a 13:
a11: and acquiring a plurality of target keywords corresponding to the first brain wave signal.
A12: and searching the image frames associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames.
A13: determining the target emotion from the plurality of target image frames.
In the embodiment of the application, a keyword library is established in advance, and the keyword library comprises a mapping relation between a characteristic value set of a brain wave signal of a user and a target keyword. The target keyword may include a plurality of words, such as common words, for example, a scene in which the user views a video having a front image of the target person, a side image of the target person, a back image of the target person, etc., and the scene of the front image of the target person is described herein as an example, and the keyword library may be created by detecting a plurality of electroencephalograms when the user imagines the front image of the target person in the scene of the front image of the target person in the mind, determining an electroencephalogram of each electroencephalogram, and corresponding the plurality of electroencephalograms to the front image of the target person, in such a manner that the user views a video with different emotions.
In the embodiment shown in steps a11-a13, after the first brain wave signal is acquired, a plurality of target keywords may be determined according to the keyword library described above; and searching a target video frame associated with at least one target keyword in the plurality of target keywords in the target video, and determining the target emotion of the target user according to the plurality of target image frames. That is to say, the target image frame corresponding to the target user in the target video is determined according to the attention content corresponding to the first brain wave signal, and then the target emotion is determined according to the picture content of the target image frame, so that the accuracy of determining the target emotion can be further improved.
In this embodiment of the application, the method for acquiring the target signal strength is not limited, and optionally, the first brain wave signal is subjected to frequency domain analysis to obtain feature data corresponding to each frequency band in a plurality of frequency bands; acquiring an energy spectrum of a corresponding frequency band according to the characteristic data corresponding to each frequency band in the plurality of frequency bands to obtain a plurality of energy spectrums; acquiring frequency bands with minimum frequency greater than a preset frequency threshold value to obtain a plurality of target frequency bands; obtaining a ratio between the energy spectrum of each target frequency band in the plurality of target frequency bands and the sum of the plurality of energy spectra to obtain a plurality of ratios; and determining the target signal strength according to the preset weight value corresponding to each target frequency band in the plurality of target frequency bands and the plurality of ratio values.
Wherein, the plurality of frequency bands can include the beta wave, gamma wave, delta wave, theta wave, alpha wave, etc; the characteristic data may be at least one of amplitude data, energy data and phase data; the preset frequency threshold is not limited in the present application, for example, if the preset frequency threshold is 13Hz, the target frequency bands are beta waves and gamma waves.
It can be understood that the target signal intensity is obtained by performing weighting operation according to the weight value preset for each target frequency band in the plurality of target frequency bands and the ratio between the energy spectrum of the target frequency band and the sum of the energy spectrums, so that the accuracy of the target signal intensity is improved.
In the embodiment of the present application, the set of mapping relationships includes a plurality of sets of mapping relationships, each set of mapping relationships corresponds to an emotion, and each set of mapping relationships is a mapping relationship between signal strength and distance.
In the embodiment shown in step a1-a4, the target emotion of the target user is obtained according to the brain wave signal, the target signal strength corresponding to the brain wave signal is obtained, after the target emotion and the target signal strength are determined, the target mapping relationship corresponding to the target emotion can be selected according to the pre-stored mapping relationship set, the first distance is determined according to the target mapping relationship and the target signal strength, and the influence of the emotion on the brain wave signal is considered, so that the accuracy of determining the first distance is improved.
Optionally, before the determining the first distance between the target user and the electronic device according to the first brain wave signal, the method further includes the following steps B1-B2:
b1: acquiring a correlation value between the first brain wave signal and the target video;
b2: when the correlation value is larger than a preset correlation threshold value, the step of determining a first distance between the target user and the electronic equipment according to the first brain wave signal is executed.
In this embodiment of the application, a method for acquiring the correlation value is not limited, and optionally, the first brain wave signal is analyzed to obtain a first feature set; selecting a second feature set corresponding to the scene information of the target video from a preset feature template; and matching the first characteristic set with the second characteristic set to obtain the correlation value.
The method for acquiring the first feature set is not limited in the present application, and the method for analyzing the brain wave signal may be referred to above, and will not be described herein again. It can be understood that feature sets corresponding to a plurality of sets of scene information are stored in the preset feature template, and after the scene information of the target video being played by the electronic device is determined, the second feature set can be selected according to the scene information, so that the searching speed for obtaining the second feature set is increased. And matching the first characteristic set and the second characteristic set corresponding to the brain wave signal, thereby determining the correlation value between the brain wave signal and the target music.
In the embodiment shown in steps B1-B2, the correlation value between the first brain wave signal and the target video is acquired, and when the correlation value is greater than the preset correlation threshold value, the step of acquiring the first distance is performed, otherwise, the playing is suspended or the marking operation is not performed, so that the accuracy of marking the video is improved, and the power consumption of the electronic device is saved.
203: and if the first distance is greater than a first distance threshold value, marking the playing time point of the target video which is currently played.
The first distance threshold is used to determine whether to mark, that is, when the first distance is greater than the first distance threshold, the mark is performed, and when the first distance is less than or equal to the first distance threshold, the playback is continued, which is not limited herein.
Optionally, the method further includes: and when the first distance is smaller than or equal to the first distance threshold, adjusting the playing volume of the target video according to the first distance.
In the embodiment of the present application, a mapping relationship between the storage distance and the playing volume is preset, and after the first distance is determined, the target playing volume can be quickly determined through the mapping relationship. For example, the following table shows the relationship between the distance and the playback volume, and as shown in the following table, when the first distance is 32 cm, the target playback volume is 40 db.
| Distance (centimeter) | Playing volume (decibel) |
| (0，20) | 20 |
| [20，30) | 30 |
| [30，40) | 40 |
| [40，50) | 50 |
| …… | …… |
Optionally, the adjusting the playing volume of the target video according to the first distance includes: determining the minimum playing volume corresponding to the first distance according to a mapping relation between a preset stored distance and the playing volume; acquiring reference playing volume corresponding to the first brain wave signal; and determining the maximum value between the minimum playing volume and the reference playing volume as the target playing volume.
That is to say, the minimum playing volume is determined according to the first distance, the required volume of the target user is determined as the reference playing volume according to the first brain wave signal, and the maximum value between the minimum playing volume and the reference playing volume is used as the target playing volume, so that the target user can hear the sound information of the target video within the first distance.
In the embodiment shown in fig. 2, a first brain wave signal of a target user is acquired through a brain wave sensor of an electronic device, a first distance between the target user and the electronic device is determined according to the first brain wave signal, and when the first distance is greater than a first distance threshold, a playing time point of a target video being played by the electronic device is marked, so that video segments which may not be seen by the target user are marked, and the intelligence and accuracy of the electronic device for playing the video are improved.
Optionally, referring to fig. 3, fig. 3 is a flowchart illustrating another video tagging method according to an embodiment of the present application, which can be applied to the electronic device described in fig. 1A. As shown in fig. 3, the video marking method includes:
301: a first brain wave signal of a target user is acquired through a brain wave sensor.
302: determining a first distance between the target user and the electronic equipment according to the first brain wave signal.
303: and if the first distance is greater than a first distance threshold value, marking the playing time point of the target video which is currently played.
304: and acquiring a second brain wave signal of the target user through the brain wave sensor.
305: and determining a second distance between the target user and the electronic equipment according to the second brain wave signal.
In step 301-303, the method for acquiring the second brain wave signal and the method for determining the second distance may refer to the embodiment shown in fig. 2, and are not described herein again.
306: and if the second distance is smaller than a second distance threshold value, starting playing from the playing time point.
The second distance threshold is smaller than the first distance threshold, and the second distance threshold is used for determining whether to play the marked video segment, that is, when the second distance is smaller than the second distance threshold, the playing is started from the marked playing time point, and when the second distance is greater than or equal to the second distance threshold, the playing is continued or paused.
It can be understood that after the playing time point of the target video currently being played is marked, the second electroencephalogram signal of the target user is acquired by the electroencephalogram sensor to determine a second distance between the target user and the electronic device, and if the second distance is smaller than a second distance threshold, the playing is started from the playing time point. That is to say, when the distance is greater than the first distance threshold, the playing time point is marked, and when the distance is less than the second distance threshold, the playing is performed from the marked time point, so that the playing intelligence of the electronic equipment is improved.
Optionally, when the second distance is smaller than a second distance threshold, the method further includes: displaying the mark information of the target video; and when the touch operation of the target user for the mark information is detected, executing the step of starting playing from the playing time point.
The mark information may include scene information, dialog information, time information, etc. of the video clip, and the display position of the mark information is not limited, and may be a position of a play time point, any free position in a display screen of the electronic device, or a prompt component displayed in a message pushing manner. When the distance between the target user and the electronic equipment is smaller than a second distance threshold value, displaying the mark information; the touch operation is used for instructing the electronic equipment to start playing from a playing time point.
It can be understood that after the playing time point of the target video currently being played is marked, a second brain wave signal of the target user is acquired through the brain wave sensor to determine a second distance between the target user and the electronic device, if the second distance is smaller than a second distance threshold, the marking information is displayed, and if a touch operation of the target user on the marking information is detected, the playing is started from the playing time point. That is to say, when the distance is smaller than the second distance threshold, the touch operation of the target user for the mark information needs to be waited, otherwise, the play is not performed, so that the playing intelligence of the electronic device is improved.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a video marker apparatus according to an embodiment of the present disclosure, which is similar to the embodiment shown in fig. 2 and fig. 3 and can be applied to the electronic device shown in fig. 1A. As shown in fig. 4, the video marking apparatus 400 includes:
a collecting unit 401, configured to collect a first brain wave signal of a target user through the brain wave sensor;
a determination unit 402 configured to determine a first distance between the target user and the electronic device according to the first brain wave signal;
the processing unit 403 is configured to mark a playing time point of a currently playing target video if the first distance is greater than a first distance threshold.
It can be seen that the acquisition unit 401 acquires a first brain wave signal of a target user through a brain wave sensor of an electronic device, the determination unit 402 determines a first distance between the target user and the electronic device according to the first brain wave signal, and the processing unit 403 marks a playing time point of a target video being played by the electronic device when the first distance is greater than a first distance threshold, so as to mark a video segment that the target user may not see, thereby improving intelligence and accuracy of playing the video.
In one possible example, the determining unit 402 is specifically configured to determine a target emotion of the target user from the first brain wave signal; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the first distance corresponding to the target signal strength according to the target mapping relation.
In one possible example, the target video includes a plurality of image frames, and the determining unit 402 is specifically configured to acquire a plurality of target keywords corresponding to the first brain wave signal; searching an image frame associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames; determining the target emotion from the plurality of target image frames.
In one possible example, the determining unit 402 is further configured to obtain an association value between the first brain wave signal and the target video; the processing unit 403 is specifically configured to determine the first distance according to the first brain wave signal when the correlation value is greater than a preset correlation threshold.
In one possible example, the acquiring unit 401 is further configured to acquire a second brain wave signal of the target user through the brain wave sensor; the determining unit 402 is further configured to determine a second distance between the target user and the electronic device according to the second brain wave signal; the processing unit 403 is further configured to start playing from the playing time point when the second distance is smaller than a second distance threshold, where the second distance threshold is smaller than the first distance threshold.
Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the present disclosure, which is consistent with the embodiments shown in fig. 2 and fig. 3. The electronic device 500 shown in fig. 5 includes: a processor 510, a memory 520, a brain wave sensor 530, and one or more programs 540. Wherein the brain wave sensor 530 includes a brain wave sensor; one or more programs 540 are stored in memory 520 and configured to be executed by processor 510, program 540 including instructions for performing the steps of:
collecting a first brain wave signal of a target user through the brain wave sensor 530;
determining a first distance between the target user and the electronic device 500 according to the first brain wave signal;
and if the first distance is greater than a first distance threshold value, marking the playing time point of the target video which is currently played.
It can be seen that the first brain wave signal of the target user is acquired by the brain wave sensor 530 of the electronic device 500, the first distance between the target user and the electronic device 500 is determined according to the first brain wave signal, and when the first distance is greater than the first distance threshold, the playing time point of the target video being played by the electronic device 500 is marked, so that a video segment that the target user may not see is marked, and the intelligence and accuracy of the electronic device 500 for playing the video are improved.
In one possible example, in terms of the determining the first distance between the target user and the electronic device 500 from the first brain wave signal, the instructions in the program 540 are specifically configured to:
determining a target emotion of the target user according to the first brain wave signal;
acquiring target signal intensity corresponding to the first brain wave signal;
selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance;
and determining the first distance corresponding to the target signal strength according to the target mapping relation.
In one possible example, the target video comprises a plurality of image frames, and the instructions in the program 540 are specifically configured to perform the following operations in the determination of the target emotion of the target user from the first brain wave signal:
acquiring a plurality of target keywords corresponding to the first brain wave signal;
searching an image frame associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames;
determining the target emotion from the plurality of target image frames.
In one possible example, the instructions in the program 540 are further configured to:
acquiring a correlation value between the first brain wave signal and the target video;
when the correlation value is greater than a preset correlation threshold value, the step of determining the first distance between the target user and the electronic device 500 according to the first brain wave signal is performed.
In one possible example, after the marking of the playing time point of the target video currently being played, the instructions in the program 540 are further configured to:
acquiring a second brain wave signal of the target user through the brain wave sensor;
determining a second distance between the target user and the electronic device 500 according to the second brain wave signal;
and if the second distance is smaller than a second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for causing a computer to execute a part or all of the steps of any one of the methods as described in the method embodiments, and the computer includes an electronic device.
Embodiments of the application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as recited in the method embodiments. The computer program product may be a software installation package and the computer comprises the electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (15)
1. A videomarking method applied to an electronic device including a brain wave sensor, the method comprising:
acquiring a first brain wave signal of a target user through the brain wave sensor;
determining a first distance between the target user and the electronic equipment according to the first brain wave signal;
if the first distance is greater than a first distance threshold, marking the playing time point of the target video which is currently played;
wherein the determining a first distance between the target user and the electronic device from the first brain wave signal comprises:
determining a target emotion of the target user according to the first brain wave signal;
acquiring target signal intensity corresponding to the first brain wave signal;
selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the first distance corresponding to the target signal strength according to the target mapping relation.
2. The method of claim 1,
the target video includes a plurality of image frames, the determining a target emotion of the target user from the first brain wave signal includes:
acquiring a plurality of target keywords corresponding to the first brain wave signal;
searching an image frame associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames;
determining the target emotion from the plurality of target image frames.
3. The method according to any one of claims 1-2, wherein before the determining the first distance between the target user and the electronic device from the first brain wave signals, the method further comprises:
acquiring a correlation value between the first brain wave signal and the target video; the correlation value can be obtained by matching a first feature set and a second feature set, wherein the first feature set can be obtained by analyzing the first brain wave signal; the second feature set is a feature set which is selected from a preset feature template and corresponds to the scene information of the target video;
when the correlation value is larger than a preset correlation threshold value, the step of determining a first distance between the target user and the electronic equipment according to the first brain wave signal is executed.
4. The method according to any one of claims 1-2, wherein after said marking a playing time point of the target video currently being played, the method further comprises:
acquiring a second brain wave signal of the target user through the brain wave sensor;
determining a second distance between the target user and the electronic equipment according to the second brain wave signal;
and if the second distance is smaller than a second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
5. The method according to claim 3, wherein after said marking the playing time point of the target video currently being played, the method further comprises:
acquiring a second brain wave signal of the target user through the brain wave sensor;
determining a second distance between the target user and the electronic equipment according to the second brain wave signal;
and if the second distance is smaller than a second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
6. A videomarking method applied to an electronic device including a brain wave sensor, the method comprising:
acquiring a first brain wave signal of a target user through the brain wave sensor;
determining a first distance between the target user and the electronic equipment according to the first brain wave signal;
if the first distance is greater than a first distance threshold, marking the playing time point of the target video which is currently played;
wherein, prior to the determining of the first distance between the target user and the electronic device from the first brain wave signal, the method further comprises:
acquiring a correlation value between the first brain wave signal and the target video; the correlation value can be obtained by matching a first feature set and a second feature set, wherein the first feature set can be obtained by analyzing the first brain wave signal; the second feature set is a feature set which is selected from a preset feature template and corresponds to the scene information of the target video;
when the correlation value is larger than a preset correlation threshold value, the step of determining a first distance between the target user and the electronic equipment according to the first brain wave signal is executed.
7. An electronic device comprising a processor, a brain wave sensor connected to the processor, and a memory, wherein:
the memory is used for storing a first distance threshold value;
the brain wave sensor is used for acquiring a first brain wave signal of a target user;
the processor is used for determining a first distance between the target user and the electronic equipment according to the first brain wave signal; if the first distance is greater than the first distance threshold, marking the playing time point of the target video which is currently played;
the memory is further used for storing a mapping relation set, the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance;
in terms of the processor determining a first distance between the target user and the electronic device from the first brain wave signals, the processor is particularly configured to determine a target emotion of the target user from the first brain wave signals; acquiring target signal intensity corresponding to the first brain wave signal; selecting a target mapping relation corresponding to the target emotion from the mapping relation set; and determining the first distance corresponding to the target signal strength according to the target mapping relation.
8. The electronic device according to claim 7, wherein the target video comprises a plurality of image frames, and the processor is specifically configured to obtain a plurality of target keywords corresponding to the first brain wave signal in terms of determining a target emotion of the target user according to the first brain wave signal; searching an image frame associated with at least one keyword in the target keywords from the image frames to obtain a plurality of target image frames; determining the target emotion from the plurality of target image frames.
9. The electronic device according to any one of claims 7 to 8, wherein the memory is further configured to store a preset association threshold, wherein the processor is specifically configured to obtain an association value between the first brain wave signal and the target video; the correlation value can be obtained by matching a first feature set and a second feature set, wherein the first feature set can be obtained by analyzing the first brain wave signal; the second feature set is a feature set which is selected from a preset feature template and corresponds to the scene information of the target video; when the correlation value is larger than the preset correlation threshold value, determining the first distance according to the first brain wave signal.
10. The electronic device of any of claims 7-8, wherein the memory is further configured to store a second distance threshold;
after the processor marks the playing time point of the target video which is currently played, the brain wave sensor is also used for collecting a second brain wave signal of the target user;
the processor is further used for determining a second distance between the target user and the electronic equipment according to the second brain wave signal; and if the second distance is smaller than the second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
11. The electronic device of claim 9, wherein the memory is further configured to store a second distance threshold;
after the processor marks the playing time point of the target video which is currently played, the brain wave sensor is also used for collecting a second brain wave signal of the target user;
the processor is further used for determining a second distance between the target user and the electronic equipment according to the second brain wave signal; and if the second distance is smaller than the second distance threshold, starting playing from the playing time point, wherein the second distance threshold is smaller than the first distance threshold.
12. An electronic device comprising a processor, a brain wave sensor connected to the processor, and a memory, wherein:
the memory is used for storing a first distance threshold value;
the brain wave sensor is used for acquiring a first brain wave signal of a target user;
the processor is used for determining a first distance between the target user and the electronic equipment according to the first brain wave signal; if the first distance is greater than the first distance threshold, marking the playing time point of the target video which is currently played;
the memory is further configured to store a preset association threshold, wherein the processor is specifically configured to acquire an association value between the first brain wave signal and the target video; the correlation value can be obtained by matching a first feature set and a second feature set, wherein the first feature set can be obtained by analyzing the first brain wave signal; the second feature set is a feature set which is selected from a preset feature template and corresponds to the scene information of the target video; when the correlation value is larger than the preset correlation threshold value, determining the first distance according to the first brain wave signal.
13. A videomark apparatus, applied to an electronic device including a brain wave sensor, the apparatus comprising:
the acquisition unit is used for acquiring a first brain wave signal of a target user through the brain wave sensor;
a determination unit configured to determine a first distance between the target user and the electronic device from the first brain wave signal;
the processing unit is used for marking the playing time point of the target video which is currently played if the first distance is greater than a first distance threshold;
wherein the determining a first distance between the target user and the electronic device from the first brain wave signal comprises:
determining a target emotion of the target user according to the first brain wave signal;
acquiring target signal intensity corresponding to the first brain wave signal;
selecting a target mapping relation corresponding to the target emotion from a preset mapping relation set, wherein the mapping relation set comprises a plurality of groups of mapping relations, each group of mapping relations corresponds to one emotion, and each group of mapping relations is a mapping relation between signal intensity and distance; and determining the first distance corresponding to the target signal strength according to the target mapping relation.
14. An electronic device comprising a processor, memory, brain wave sensors, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method of any of claims 1-6.
15. A computer-readable storage medium, characterized in that,
for storing a computer program, wherein the computer program is adapted to cause a computer to perform the method according to any of claims 1-6.
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| CN116047399B (en) * | 2023-04-03 | 2023-06-27 | 深圳市成为信息股份有限公司 | Method and related device for precisely positioning tag by UHF handheld terminal |
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