CN111770309A - Video uploading method and device, electronic equipment and storage medium - Google Patents
Video uploading method and device, electronic equipment and storage medium Download PDFInfo
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- CN111770309A CN111770309A CN202010587040.6A CN202010587040A CN111770309A CN 111770309 A CN111770309 A CN 111770309A CN 202010587040 A CN202010587040 A CN 202010587040A CN 111770309 A CN111770309 A CN 111770309A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/27—Server based end-user applications
- H04N21/274—Storing end-user multimedia data in response to end-user request, e.g. network recorder
- H04N21/2743—Video hosting of uploaded data from client
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Abstract
The embodiment of the application provides a video uploading method and device, electronic equipment and a storage medium, which are used for reducing the power consumption of a camera and prolonging the service life of a battery. The method comprises the following steps: the camera collects a video; the camera uploads the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1; storing the rest videos except the first N frames of images in a local storage unit; and uploading the residual videos to a cloud service platform at a first preset time.
Description
Technical Field
The present invention relates to the field of wireless transmission technologies, and in particular, to a video uploading method and apparatus, an electronic device, and a storage medium.
Background
With the development of science and technology, the application of the camera is more and more common. For example, in the field of security monitoring, a camera is used for a series of security activities such as security inspection, real-time control, investigation and evidence collection, and provides great convenience for people. However, in many scenarios, a camera (e.g., an electronic cat eye) cannot be connected to a cable (a power line and a network cable), and needs to be powered by a battery and transmit data such as acquired video through a wireless network.
In practical application, after the camera collects a video, the camera has limited storage space and needs to upload the collected video to a cloud service platform for storage so as to be viewed when needed, in order to avoid damage to the collected video caused by human factors or equipment faults. At present, a video is acquired by a camera and then is uploaded to a cloud server immediately, however, the wireless transmission efficiency of the video is often reduced due to interference of the surrounding environment in the uploading process, the video can be uploaded successfully through multiple attempts, so that the video with the same data volume needs to spend more time in the uploading process, the camera needs to consume more electric quantity, the endurance time of a battery of the camera is shortened, and the battery of the camera needs to be frequently replaced or charged.
Disclosure of Invention
The embodiment of the application provides a video uploading method and device, electronic equipment and a storage medium, which are used for reducing the power consumption of a camera and prolonging the service life of a battery.
In a first aspect, a video uploading method is provided, and the method includes:
the camera collects a video;
the camera uploads the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1;
storing the rest videos except the first N frames of images in a local storage unit;
and uploading the residual videos to the cloud service platform at a first preset time.
Optionally, the first preset time is a time specified by a user, or a time determined by the camera according to a quality of a wireless channel between the camera and the cloud service platform.
Optionally, the determining, by the camera, a first preset time according to the quality of a wireless channel between the camera and the cloud service platform includes:
the camera segments other videos in the local storage unit before acquiring the videos;
sequentially uploading the segmented videos to the cloud service platform;
recording the uploading time of each video segment, and acquiring the wireless channel quality evaluation parameters in the uploading process of each video segment;
determining a wireless channel quality evaluation result corresponding to the uploading time of each video segment according to the wireless channel quality evaluation parameters;
and determining the uploading time with the optimal wireless channel quality evaluation result as the first preset time.
Optionally, the wireless channel quality assessment parameter includes: the strength of the received signal indicates at least one of an RSSI value or a message retransmission rate or an effective bandwidth.
Optionally, the segmenting, by the camera, other videos in the local storage unit includes:
judging whether the local storage unit has a video to be uploaded or not;
when videos to be uploaded exist in the local storage unit, determining the number of the videos to be uploaded;
when the number of the videos to be uploaded is 1, segmenting the videos to be uploaded;
when the number of the videos to be uploaded is greater than or equal to 2, determining the acquisition time of the videos to be uploaded;
and segmenting the video to be uploaded with the earliest acquisition time.
Optionally, sequentially uploading the segmented videos to the cloud service platform, including:
judging whether the uploading time of each video segment has a corresponding wireless channel quality evaluation result;
if the wireless channel quality evaluation result exists, the video is not uploaded to the cloud service platform;
and if the wireless channel quality evaluation result does not exist, uploading the video to the cloud service platform.
Optionally, after the segmented videos are sequentially uploaded to the cloud service platform, the method further includes:
and marking the state of the video segment uploaded to the cloud service platform as uploaded.
Optionally, the method further includes:
and after the preset duration is reached, adjusting the first preset time to be second preset time, wherein the second preset time is used for uploading the residual video, except the first N frames of images, in the newly acquired video to the cloud service platform.
Optionally, uploading the remaining video to a cloud service platform at a first preset time includes:
detecting a remaining space of the local storage unit;
and when the residual space of the local storage unit is smaller than a first preset threshold value, uploading the residual video to the cloud service platform, and when the residual space of the local storage unit is larger than a second preset threshold value, uploading the residual video to the cloud service platform at a first preset time.
Optionally, uploading the remaining video to a cloud service platform at a first preset time includes:
determining that the current electric quantity is smaller than a preset electric quantity, and uploading the residual video to a cloud service platform at a first preset time;
the method further comprises the following steps:
and when the camera is detected to be in a charging state, directly uploading the residual video to the cloud service platform.
In a second aspect, there is provided a video processing system, the system comprising:
the video acquisition system is used for acquiring videos;
the wireless router is used for providing a wireless data network so that the video acquisition system sends the acquired video to the cloud service platform through the wireless data network;
the cloud service platform is used for storing the video acquired by the video acquisition system;
and the terminal equipment is used for configuring and controlling the image acquisition system through an application program and inquiring the video stored in the cloud service platform.
In a third aspect, a video uploading apparatus is provided, the apparatus comprising:
the acquisition module is used for acquiring a video;
the communication module is used for uploading the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1;
the processing module is used for storing the rest videos except the first N frames of images in the video in a local storage unit;
the communication module is further used for uploading the remaining videos to the cloud service platform at a first preset time.
Optionally, the first preset time is a time specified by a user, or a time determined by the camera according to a quality of a wireless channel between the camera and the cloud service platform.
Optionally, the processing module is configured to:
segmenting other videos in the local storage unit before the acquisition module acquires the videos;
the communication module sequentially uploads the segmented videos to the cloud service platform;
the processing module records the uploading time of each video segment and acquires the wireless channel quality evaluation parameters in the uploading process of each video segment after the communication module sequentially uploads the segmented videos to the cloud service platform;
determining a wireless channel quality evaluation result corresponding to the uploading time of each video segment according to the wireless channel quality evaluation parameters;
and determining the uploading time with the optimal wireless channel quality evaluation result as the first preset time.
Optionally, the wireless channel quality assessment parameter includes: the strength of the received signal indicates at least one of an RSSI value or a message retransmission rate or an effective bandwidth.
Optionally, the processing module is specifically configured to:
judging whether the local storage unit has a video to be uploaded or not;
when videos to be uploaded exist in the local storage unit, determining the number of the videos to be uploaded;
when the number of the videos to be uploaded is 1, segmenting the videos to be uploaded;
when the number of the videos to be uploaded is greater than or equal to 2, determining the acquisition time of the videos to be uploaded;
and segmenting the video to be uploaded with the earliest acquisition time.
Optionally, the processing module is specifically configured to: judging whether the uploading time of each video segment has a corresponding wireless channel quality evaluation result;
if the processing module determines that the wireless channel quality evaluation result exists, the communication module does not upload a video to the cloud service platform;
and if the processing module determines that the wireless channel quality evaluation result does not exist, the communication module uploads the video to the cloud service platform.
Optionally, the processing module is further configured to:
and marking the state of the video segment uploaded to the cloud service platform as uploaded.
Optionally, the processing module is further configured to:
and after the preset duration is reached, adjusting the first preset time to be second preset time, wherein the second preset time is used for uploading the residual video, except the first N frames of images, in the newly acquired video to the cloud service platform.
Optionally, the processing module is configured to:
detecting a remaining space of the local storage unit;
when the processing module detects that the residual space of the local storage unit is smaller than a first preset threshold value, the communication module uploads the residual video to the cloud service platform, and when the processing module detects that the residual space of the local storage unit is larger than a second preset threshold value, the communication module uploads the residual video to the cloud service platform at a first preset time.
Optionally, the communication module is configured to:
when the processing module determines that the current electric quantity is smaller than a preset electric quantity, uploading the residual video to a cloud service platform at a first preset time;
the communication module is further configured to:
and when the processing module detects that the camera is in a charging state, the residual video is directly uploaded to the cloud service platform.
In a fourth aspect, an electronic device is provided, the electronic device comprising:
a memory for storing program instructions;
a processor for calling the program instructions stored in the memory and executing the steps comprised in any of the methods of the first aspect according to the obtained program instructions.
In a fifth aspect, there is provided a computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the steps included in the method of any of the first aspects.
A sixth aspect provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the video upload method described in the various possible implementations described above.
In the embodiment of the application, after a video is collected by a camera, the first N frames of images in the collected video are uploaded to a cloud service platform, then the remaining video excluding the first N frames of images in the video is stored in a local storage unit, and the remaining video stored in the local storage unit is uploaded to the cloud service platform at a first preset time. That is, the camera uploads only a portion of the image of the video after the video is captured, so that the user can know about an event occurring in the video by previewing the portion of the image even when the video is not completely uploaded. And the camera stores the residual video in the local storage unit and uploads the residual video when the first preset time is reached, so that the phenomenon that a large amount of video data needs to be uploaded to the cloud server in a short time can be effectively avoided, time-sharing transmission is realized, the power consumption of the camera is reduced, and the service time of a battery of the camera is prolonged.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
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 will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application.
Fig. 1 is an application scenario in which the technical solution of the embodiment of the present application can be used;
fig. 2 is a flowchart of a video uploading method according to an embodiment of the present application;
fig. 3 is a schematic view of a video uploading process provided in an embodiment of the present application;
fig. 4 is a schematic view illustrating a setting process of a video upload condition according to an embodiment of the present application;
fig. 5 is a schematic flowchart of determining a first preset time according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a video uploading apparatus according to an embodiment of the present application;
fig. 7 is a block diagram illustrating a structure of a video uploading apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the accompanying 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 the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given in the present application without any inventive step, shall fall within the scope of protection of the present application. In the present application, the embodiments and features of the embodiments may be arbitrarily combined with each other without conflict. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
The terms "first" and "second" in the description and claims of the present application and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the term "comprises" and any variations thereof, which are intended to cover non-exclusive protection. 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. The "plurality" in the present application may mean at least two, for example, two, three or more, and the embodiments of the present application are not limited.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this document generally indicates that the preceding and following related objects are in an "or" relationship unless otherwise specified.
For ease of understanding, the technical background of the embodiments of the present invention will be described below.
At present, aiming at prolonging the service time of a camera battery, a technical scheme is that a camera is enabled to close unnecessary devices and programs in most of time, only the necessary devices and programs are started to detect whether video acquisition is needed or not, the camera is enabled to be in a low power consumption state, only when the camera detects a trigger condition (for example, a preset object appears in a video) needing the video acquisition, the camera is switched to a normal working state to carry out the video acquisition, and the acquired video is uploaded to a cloud service platform to be stored. However, in an actual application scenario, when a video is uploaded in a wireless network manner, the video is often interfered by the surrounding environment, and the wireless network itself acquires channel resources through competition, and when a plurality of wireless network devices perform data transmission on the same channel, the wireless network devices also interfere with each other.
For example, in a residential building, almost every household has a wireless network device (a mobile phone, a television, a computer, a tablet computer, etc.), so that competition for acquiring channel resources is very strong, efficiency of wireless transmission is reduced, and a message needs to be transmitted successfully after being tried many times due to error codes, collisions, etc. in the transmission process. But this disturbance is not constant in the time dimension but exhibits a regular fluctuation characteristic. For example, at 18 pm to 22 pm, the channel competition is very intense and interference is likely to occur because there are very many people using wireless network devices, whereas at 2 pm to 6 pm, the channel competition is low and the efficiency of data transmission is relatively high because there are few people using wireless network devices.
In view of this, an embodiment of the present application provides a video uploading method, where only a partial image in a video is sent after an acquired video, and the remaining video is uploaded at a preset time (for example, at a time with a smaller channel competition), so that wireless interference in the video uploading process is reduced, and data transmission efficiency is increased, thereby effectively reducing extra power consumption caused by the wireless interference in the video uploading process, reducing power consumption of a camera, and prolonging the service time of a camera battery.
After introducing the design concept of the embodiment of the present application, some simple descriptions are provided below for application scenarios to which the technical solution of the embodiment of the present application can be applied, and it should be noted that the application scenarios described below are only used for describing the embodiment of the present application and are not limited. In specific implementation, the technical scheme provided by the embodiment of the application can be flexibly applied according to actual needs.
Referring to fig. 1, fig. 1 is an application scenario that can be used in the technical solution of the embodiment of the present application, where the application scenario includes a video acquisition system, a wireless router, a cloud service platform, and a terminal device, and the wireless router and the terminal device are connected to the cloud service platform through a network. Among them, in the video capture system, a shooting device is provided, which is an electronic device, a monitoring device, etc. capable of shooting videos, such as an electronic cat eye, and the like, which uses a battery to supply power to a camera, etc. having a camera shooting function, and uses a wireless data network to transmit data. A persistent memory such as an SD card is arranged in the shooting device and used for storing collected data such as videos. The terminal device is, for example, a mobile terminal such as a mobile phone and a tablet computer, or a PC client such as a desktop computer and a notebook computer, and can configure and control the camera device by installing an application program on the terminal device, and access the cloud service platform through a network to view images or videos uploaded by the camera device.
The video uploading method provided by the embodiment of the application is described below with reference to the drawings of the specification. Referring to fig. 2, a flow of a video uploading method in the embodiment of the present application is described as follows:
step 201: the camera captures video.
In the embodiment of the present application, since the power storage of the camera is limited, it is impossible to continuously capture video (for example, it may also be called recording) for 24 hours as in a wired camera, and therefore, in order to prolong the battery life, the camera is kept in a low power consumption state, i.e., a non-recording state, for most of the time. Only when a trigger condition that video acquisition is required is detected, the state of the camera is restored to a normal working state, namely a video recording state.
In one possible embodiment, it is also necessary to detect the presence of a predetermined object within the camera's monitored area before the camera captures video. Therefore, the camera further comprises a target detection sensor, the target detection sensor is used for detecting whether a preset object (such as a person) exists in the monitored area, and when the preset object exists in the monitored area, a video acquisition signal is sent to the camera, so that the camera is restored to a normal working state from a low power consumption state, and video recording is performed. The target detection Sensor may be, for example, a Passive Infrared Sensor (PIR), and since the center wavelength of Infrared rays radiated from a human body is 9-10um, the sensitivity of a detection element inside the pyroelectric Infrared detector is 0.2-20um, and the wavelength that a filter can pass is 7-10um, the pyroelectric Infrared Sensor can sense the movement of the human body by detecting Infrared rays radiated from the movement of the human body.
Step 202: and uploading the first N frames of images in the video collected by the camera to a cloud service platform.
In the embodiment of the application, after the video is collected by the camera, the first N frames of images in the video are captured, and the captured first N frames of images are sent to the cloud service platform to be stored. The value of N may be set by a user in advance, or determined by the camera according to the remaining power, and when the remaining power of the camera is sufficient, a larger value of N may be set, for example, N is 5, so that the user may view more images in the video, and know the event more clearly. When the remaining power of the camera is less, a smaller value of N may be set, for example, N is 1, which may enable the user to view the relevant information of the event and also extend the battery usage time as much as possible, and when the user finds that there is only one relevant image of a certain video, the user may know that the power of the camera is insufficient and needs to be charged.
In a specific implementation process, the first N frames of images are uploaded, so that a user can know the general situation of things through the images when needing to check related events, a complete video does not need to be loaded, and resources are saved.
Step 203: and saving the residual video except the previous N frames of images in the video collected by the camera into a local storage unit.
In the embodiment of the application, after the first N frames of images in the acquired video are uploaded to the cloud service platform for storage, the remaining videos are stored in the local storage unit, and the first N frames of images of the same video are associated with the remaining videos through a unique ID (for example, a time stamp). The local storage unit is a persistent storage unit in which stored contents are not lost after the power of the camera is cut off, for example, an SD card, a Nand flash, and the like, and data such as audio/video recording, device configuration, and the like can be stored in the local storage unit.
In a specific implementation process, the uploaded first N frames of images are associated with the rest of videos, so that after a user views the images, if the user wants to know the related information in the videos more clearly, the corresponding videos can be found according to the association relationship between the root images and the rest of videos, and user experience is improved.
Step 204: and uploading the residual videos to the cloud service platform at the first preset time.
In the embodiment of the application, in order to prevent the local storage unit of the camera from being damaged manually or prevent the video stored in the local storage unit from being lost due to equipment failure, the video is uploaded to the cloud service platform, and the cloud service platform is a reliable method for guaranteeing the safety of the video. Therefore, in order to secure the video and prolong the service time of the battery, the video in the local storage unit can be uploaded at a first preset time (for example, also referred to as a specific time). In a possible implementation manner, please refer to fig. 3, where fig. 3 is a schematic view of a video uploading process provided in an embodiment of the present application, when a first preset time is reached, a camera enters a preparation state of video transmission, whether an un-uploaded video exists in a local storage unit is detected, when it is determined that the un-uploaded video exists, the un-uploaded video is uploaded, and until all the un-uploaded videos are uploaded, the camera enters a low power consumption state. Upon determining that there is no non-uploaded video, the camera enters a low power consumption state. For example, the camera does not perform video acquisition all day long, and when the first preset time is reached, the camera detects that the video which is not uploaded does not exist in the local storage unit, and at the moment, the camera does not perform video uploading and directly enters a low power consumption state.
In one possible implementation, the first preset time may be set by the user according to a usage time rule of the wireless network. For example, when 2:00 am occurs, most people sleep, the number of people using the wireless network is small, only a few wireless network devices are using the wireless network, so that the competition of the wireless network is small, and the transmission efficiency of uploading videos is relatively high, so that a user can use 2:00 am as the first preset time for uploading the rest videos. In another possible implementation, the first preset time is a time determined by the camera according to the quality of a wireless channel between the camera and the cloud service platform.
Therefore, the video in the local storage unit is uploaded at a specific time, and extra power consumption caused by wireless interference in the video uploading process can be effectively avoided, so that the power consumption of the camera is effectively reduced, and the service life of a camera battery is prolonged.
In a possible implementation, when the camera is installed and put into use, the user may determine the condition of video uploading, that is, whether the setting mode of the first preset time is set manually by the user or acquired automatically by the camera (that is, the determination is made by the camera according to the quality of the wireless channel). Referring to fig. 4, fig. 4 is a schematic view illustrating a setting flow of a video uploading condition according to an embodiment of the present application. The method comprises the steps that a user opens a video uploading condition determining function interface of the camera, a first preset time determining mode is selected on the interface, when the manual mode is selected by the user, the current interface is switched to a first preset time setting interface, and after time is input, setting is prompted to be completed, so that the time for the camera to upload videos of a local storage unit to a cloud service platform each time is the time input by the user on the first preset time setting interface. When the user selects the automatic acquisition mode of the camera, the camera starts to acquire the quality of the wireless channel, and meanwhile the setting is prompted to be completed, so that the time for the camera to upload the video of the local storage unit to the cloud service platform each time is the time determined by the camera according to the quality of the wireless channel.
Therefore, when the user selects the manual mode, the camera can directly upload videos according to the time set by the user without acquiring the quality information of the wireless channel, the service time of the battery is prolonged, the working frequency of the camera can be reduced, and the service life of the camera is prolonged. When the user selects the automatic acquisition mode of the camera, the camera can determine the time with the highest video transmission efficiency according to the quality of a wireless channel, and the service time of a battery can be prolonged.
In one possible implementation, when the user sets the video uploading condition, the camera automatic acquisition mode is selected, namely, the camera determines the first preset time according to the wireless channel quality. Before the camera captures the video, please refer to fig. 5, where fig. 5 is a schematic flowchart of determining the first preset time according to an embodiment of the present application. The other videos stored in the local storage unit are segmented. And the other videos are videos which are acquired by the camera and need to be uploaded to the cloud service platform from the local storage unit for storage before the first preset time is determined. The segmented videos are sequentially uploaded to a cloud service platform, the uploading time of each video is recorded in the video uploading process, wireless channel quality assessment parameters in the video uploading process of each video are obtained, wireless channel quality assessment results corresponding to the uploading time of each video are determined, the wireless channel quality assessment results corresponding to each uploading time are sequenced, and the uploading time with the optimal wireless channel quality assessment result is determined to be first preset time. The wireless channel quality evaluation parameters comprise strength indication RRSI values of received signals, message retransmission rates or effective bandwidths and the like.
For example, before the camera captures a video and uploads the rest of the video to the cloud service platform at the first preset time, the local storage unit SD card stores a 12-minute period of other video, and the 12-minute period of video needs to be uploaded to the cloud service platform for storage. Therefore, the video of 12 minutes is segmented, for example, the video is segmented every 30 seconds, the video can be segmented into 24 segments, and then the 24 segments of video are sequentially uploaded to the cloud service platform according to a certain period, for example, once per hour. In the process of uploading each video segment, recording the uploading time of each video segment, acquiring the wireless channel quality assessment parameter in the process of uploading each video segment, calculating the wireless channel quality assessment result corresponding to the uploading time of each video segment according to the weight value set for each wireless channel quality assessment parameter, and recording the assessment result corresponding to the uploading time of each video segment, wherein the recording form can be, for example: "1: 00-90", "2: 00-96", "3: 00-95", "4: 00-90", "5: 00-80", "6: 00-85" … "24: 00-83", then sorting according to the wireless channel quality score, and finally determining 2:00 as the first preset time.
In this way, the camera can upload other videos which need to be uploaded to the cloud service platform for storage in the local storage unit to the cloud service platform after segmentation, and determine the uploading time with the optimal wireless channel quality according to the wireless channel quality evaluation parameters in the uploading process of other videos to be used for uploading the remaining videos, except the first N frames of images, in the videos collected by the camera. Because only part of the video is uploaded each time, the extra power consumption in the video transmission process can be effectively saved.
In another possible implementation, the video in the local storage unit does not need to be segmented, each complete video segment is sequentially uploaded, the uploading time of each video segment and the wireless channel quality evaluation parameter are recorded, and the method for determining the optimal video uploading time (i.e., the first preset time) according to the wireless channel quality evaluation parameter is the same as the method for segmenting the video and determining the first preset time during uploading the segmented video, which is not described herein again.
Specifically, when each video segment is uploaded, it is also necessary to determine whether a corresponding wireless channel quality evaluation result already exists at the current time. And if the corresponding wireless channel quality evaluation result exists at the current time, the video is not uploaded at the uploading time until the next uploading time. When it is determined that the corresponding wireless channel quality evaluation results exist in all the uploading time, sorting all the uploading time according to the wireless channel quality scores, and determining the uploading time with the optimal wireless channel quality evaluation result as first preset time.
For example, before uploading a video, 20 segments of video are uploaded regularly every hour, and a corresponding wireless channel quality evaluation result is obtained: the wireless channel quality assessment results are respectively found from 1:00 to 90, 2:00 to 96, 3:00 to 95, 4:00 to 90, 5:00 to 80, 6:00 to 85, …, 20:00 to 75 and 21:00 to 0, … and 24:00 to 0, so that when other videos are uploaded, the videos do not need to be uploaded within the time from 1:00 to 20:00, and only the videos need to be uploaded once per hour from 21:00 until all the uploading time in 24 hours.
In a possible implementation manner, when the camera segments other videos in the local storage unit, it is further required to first determine whether a video to be uploaded exists in the local storage unit, and when it is determined that the video to be uploaded exists in the local storage unit, it is determined that there are several segments of the video to be uploaded. When only 1 video is to be uploaded, the video is directly segmented. When a plurality of sections of videos to be uploaded exist, the acquisition time of each section of video is judged, and the video with the earliest acquisition time is segmented. If the first preset time can be determined by the video after the video with the earliest acquisition time is segmented, the rest of other videos are also uploaded at the first preset time. If the first preset time cannot be determined by the video after the video with the earliest acquisition time is segmented, continuously segmenting the video with the earliest acquisition time in the remaining videos to be uploaded until the first preset time can be determined according to the segmented video.
In one possible implementation, after the segmented video is uploaded to the cloud service platform, the state of the successfully uploaded video is marked as uploaded in the local storage unit. In this way, it is possible to avoid a situation in which the camera uploads the already uploaded video again.
In a possible implementation manner, after the preset duration is reached, the first preset time is adjusted to be a second preset time, and the second preset time is used for uploading the remaining video, excluding the previous N frames of images, in the newly acquired video to the cloud service platform. The second preset time may be the same as or different from the first preset time.
For example, in a residential building, the population may be large, the number of people using the wireless network increases after a certain period of time, the quality of the wireless channel may not be optimal for a first predetermined time, and an optimal remaining video uploading time needs to be determined again, so that a predetermined time period, for example, one week, may be set, and after the usage time period of the first predetermined time period reaches one week (i.e., second monday), the camera may determine a second predetermined time period again, that is, the time period during which the camera uploads the video every day for the second week is the second predetermined time period. In this way, changes in the surrounding environment can be better accommodated.
In a possible implementation manner, when the remaining video is uploaded to the cloud service platform at the first preset time, the remaining space of the local storage unit needs to be detected in real time, and when it is detected that the remaining space of the local storage unit is smaller than a first threshold (for example, 20% of the total storage space), the remaining video stored in the local storage unit is directly uploaded without waiting for the first preset time until it is detected that the remaining space in the local storage unit is greater than or equal to a second preset threshold (for example, 70% of the total storage space), the uploading is stopped, and the remaining video that has not been uploaded is uploaded at the first preset time.
In a specific implementation process, the residual space of the local storage unit is detected in real time, so that the situation of video loss caused by insufficient space can be effectively avoided. Meanwhile, when the fact that the residual space is large is detected, uploading of the video is stopped, the video which is not uploaded at the first preset time can be uploaded at the first preset time, power consumption of the battery can be reduced as far as possible under the condition that video loss is avoided, and the effect of prolonging the service life of the battery is achieved.
In a possible implementation manner, when the remaining video is uploaded to the cloud service platform at the first preset time, the remaining power of the camera may also be detected, and when the remaining power of the camera is less than the preset power, the remaining video is uploaded at the first preset time. In another possible implementation, when the camera detects that the power supply is connected for charging, the remaining video is directly uploaded to the cloud service platform.
In a specific implementation process, when the camera is charged, the electric quantity of the camera is sufficient, and in this case, the problem of long service life of the battery is not worried about, and the residual video can be directly uploaded.
The process of uploading video by the video uploading apparatus is further described with reference to fig. 6, where fig. 6 is a schematic structural diagram of the video uploading apparatus according to the embodiment of the present application. The video uploading device comprises an event detection unit, a video recording control unit, a video recording unit, a local storage unit, an uploading condition configuration unit, an automatic detection unit, a wireless quality evaluation unit and a wireless transmission unit. The event detection unit is used for detecting whether a preset object exists in a camera monitoring area or not; the video control unit is used for sending a video acquisition signal to the camera when receiving the preset object detected by the event detection unit, so that the camera is recovered to a working state from a low power consumption state, and storing the video in the local storage unit; the video recording unit is used for carrying out video recording under the control of the video recording control unit; the uploading condition configuration unit is used for determining whether the setting mode of the first preset time for uploading the residual videos is set manually by a user or automatically acquired by a camera; the automatic detection unit is used for acquiring the quality of a wireless channel when the setting mode of the first preset time is a camera automatic acquisition mode; the wireless quality evaluation unit is used for acquiring wireless channel quality evaluation parameters in the video uploading process and calculating a wireless channel quality evaluation result corresponding to the uploading time of each video segment according to a weight value set for each wireless channel quality evaluation parameter; the wireless transmission unit is used for uploading the video stored in the local storage unit to the cloud service platform.
Based on the same inventive concept, the embodiment of the application provides a video uploading device, and the video uploading device can realize the corresponding functions of the video uploading method. The video uploading means may be a hardware structure, a software module, or a hardware structure plus a software module. The video uploading device can be realized by a chip system, and the chip system can be formed by a chip and can also comprise the chip and other discrete devices. Referring to fig. 7, the video uploading apparatus includes a collecting module 701, a communication module 702, and a processing module 703. Wherein:
an acquisition module 701, configured to acquire a video;
a communication module 702, configured to upload the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1;
a processing module 703, configured to store, in a local storage unit, the remaining videos in the video except for the first N frames of images;
the communication module 702 is further configured to upload the remaining videos to a cloud service platform at a first preset time.
In a possible implementation manner, the first preset time is a time specified by a user, or a time determined by the camera according to a quality of a wireless channel between the camera and the cloud service platform.
In a possible implementation manner, the processing module 703 is configured to:
segmenting other videos in the local storage unit before the acquisition module 701 acquires the videos;
the communication module 702 sequentially uploads the segmented videos to the cloud service platform;
after the communication module 702 sequentially uploads the segmented videos to the cloud service platform, the processing module 703 records the uploading time of each video segment and acquires the wireless channel quality evaluation parameters in the uploading process of each video segment;
determining a wireless channel quality evaluation result corresponding to the uploading time of each video segment according to the wireless channel quality evaluation parameters;
and determining the uploading time with the optimal wireless channel quality evaluation result as the first preset time.
In one possible embodiment, the wireless channel quality assessment parameters include: the strength of the received signal indicates at least one of an RSSI value or a message retransmission rate or an effective bandwidth.
In a possible implementation manner, the processing module 703 is specifically configured to:
judging whether the local storage unit has a video to be uploaded or not;
when videos to be uploaded exist in the local storage unit, determining the number of the videos to be uploaded;
when the number of the videos to be uploaded is 1, segmenting the videos to be uploaded;
when the number of the videos to be uploaded is greater than or equal to 2, determining the acquisition time of the videos to be uploaded;
and segmenting the video to be uploaded with the earliest acquisition time.
In a possible implementation manner, the processing module 703 is specifically configured to: judging whether the uploading time of each video segment has a corresponding wireless channel quality evaluation result;
if the processing module 703 determines that the wireless channel quality assessment result already exists, the communication module 702 does not upload a video to the cloud service platform;
if the processing module 703 determines that the wireless channel quality assessment result does not exist, the communication module 702 uploads a video to the cloud service platform.
In a possible implementation manner, the processing module 703 is further configured to:
and marking the state of the video segment uploaded to the cloud service platform as uploaded.
In a possible implementation manner, the processing module 703 is further configured to:
and after the preset duration is reached, adjusting the first preset time to be second preset time, wherein the second preset time is used for uploading the residual video, except the first N frames of images, in the newly acquired video to the cloud service platform.
In a possible implementation manner, the processing module 703 is configured to:
detecting a remaining space of the local storage unit;
when the processing module 703 detects that the remaining space of the local storage unit is smaller than a first preset threshold, the communication module 702 uploads the remaining video to the cloud service platform, until the processing module 703 detects that the remaining space of the local storage unit is larger than a second preset threshold, the communication module 702 uploads the remaining video to the cloud service platform at a first preset time.
In a possible implementation, the communication module 702 is configured to:
when the processing module 703 determines that the current electric quantity is smaller than a preset electric quantity, uploading the remaining video to a cloud service platform at a first preset time;
the communication module 702 is further configured to:
and when the processing module detects that the camera is in a charging state, the residual video is directly uploaded to the cloud service platform.
The aforementioned pair of video recording units shown in fig. 6 may be understood as the acquisition module 701 in fig. 7, the pair of event detection unit, video recording control unit, local storage unit, upload condition configuration unit, automatic detection unit and wireless quality evaluation unit in fig. 6 may be understood as the processing module 703 in fig. 7, and the pair of wireless transmission units in fig. 6 may be understood as the communication module 702 in fig. 7.
All relevant contents of each step related to the embodiment of the video uploading method may be cited to the functional description of the functional module corresponding to the video uploading apparatus in the embodiment of the present application, and are not described herein again.
The division of the modules in the embodiments of the present application is schematic, and only one logical function division is provided, and in actual implementation, there may be another division manner, and in addition, each functional module in each embodiment of the present application may be integrated in one processor, may also exist alone physically, or may also be integrated in one module by two or more modules. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Based on the same inventive concept, the embodiment of the application provides electronic equipment. Referring to fig. 8, the electronic device includes at least one processor 801 and a memory 802 connected to the at least one processor, in this embodiment, a specific connection medium between the processor 801 and the memory 802 is not limited in this application, in fig. 8, the processor 801 and the memory 802 are connected through a bus 800 as an example, the bus 800 is represented by a thick line in fig. 8, and connection manners between other components are only schematically illustrated and not limited. The bus 800 may be divided into an address bus, a data bus, a control bus, etc., and is shown in fig. 8 with only one thick line for ease of illustration, but does not represent only one bus or type of bus.
In the embodiment of the present application, the memory 802 stores instructions executable by the at least one processor 801, and the at least one processor 801 may execute the steps included in the video uploading method by executing the instructions stored in the memory 802.
The processor 801 is a control center of the electronic device, and may connect various parts of the whole electronic device by using various interfaces and lines, and perform various functions and process data of the electronic device by operating or executing instructions stored in the memory 802 and calling data stored in the memory 802, thereby performing overall monitoring on the electronic device. Alternatively, the processor 801 may include one or more processing units, and the processor 801 may integrate an application processor, which mainly handles operating systems, application programs, and the like, and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 801. In some embodiments, the processor 801 and the memory 802 may be implemented on the same chip, or in some embodiments, they may be implemented separately on separate chips.
The processor 801 may be a general-purpose processor, such as a Central Processing Unit (CPU), digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like, that may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the video uploading method disclosed in the embodiments of the present application may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.
By programming the processor 801, codes corresponding to the video uploading method described in the foregoing embodiment may be solidified in a chip, so that the chip can execute the steps of the video uploading method when running, and how to program the processor 801 is a technique known by those skilled in the art, and will not be described herein again.
Based on the same inventive concept, embodiments of the present application further provide a computer-readable storage medium storing computer instructions, which, when executed on a computer, cause the computer to perform the steps of the video uploading method as described above.
In some possible embodiments, the aspects of the video uploading method provided by the present application may also be implemented in the form of a program product, which includes program code for causing a detection apparatus to perform the steps in the video uploading method according to various exemplary embodiments of the present application described above in this specification, when the program product is run on an electronic device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (14)
1. A video uploading method, applied to a camera, the method comprising:
the camera collects a video;
the camera uploads the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1;
storing the rest videos except the first N frames of images in a local storage unit;
and uploading the residual videos to the cloud service platform at a first preset time.
2. The method of claim 1, wherein the first preset time is a user-specified time or a time determined by the camera according to a quality of a wireless channel between the camera and the cloud service platform.
3. The method of claim 2, wherein the camera determining a first preset time according to a quality of a wireless channel between the camera and a cloud service platform comprises:
the camera segments other videos in the local storage unit before acquiring the videos;
sequentially uploading the segmented videos to the cloud service platform;
recording the uploading time of each video segment, and acquiring the wireless channel quality evaluation parameters in the uploading process of each video segment;
determining a wireless channel quality evaluation result corresponding to the uploading time of each section of video according to the wireless channel quality evaluation parameters;
and determining the uploading time with the optimal wireless channel quality evaluation result as the first preset time.
4. The method of claim 3, wherein the wireless channel quality assessment parameters comprise: the strength of the received signal indicates at least one of an RSSI value or a message retransmission rate or an effective bandwidth.
5. The method of claim 3, wherein the camera segmenting other video in the local storage unit, comprising:
judging whether the local storage unit has a video to be uploaded or not;
when videos to be uploaded exist in the local storage unit, determining the number of the videos to be uploaded;
when the number of the videos to be uploaded is 1, segmenting the videos to be uploaded;
when the number of the videos to be uploaded is greater than or equal to 2, determining the acquisition time of the videos to be uploaded;
and segmenting the video to be uploaded with the earliest acquisition time.
6. The method of claim 3, wherein uploading the segmented videos to the cloud service platform in sequence comprises:
judging whether the uploading time of each video segment has a corresponding wireless channel quality evaluation result;
if the wireless channel quality evaluation result exists, the video is not uploaded to the cloud service platform;
and if the wireless channel quality evaluation result does not exist, uploading the video to the cloud service platform.
7. The method of claim 3, wherein after sequentially uploading the segmented video to the cloud service platform, further comprising:
and marking the state of the video segment uploaded to the cloud service platform as uploaded.
8. The method of any one of claims 1-7, wherein the method further comprises:
and after the preset duration is reached, adjusting the first preset time to be second preset time, wherein the second preset time is used for uploading the residual video, except the first N frames of images, in the newly acquired video to a cloud service platform.
9. The method of any one of claims 1-7, wherein uploading the remaining video to a cloud service platform at a first preset time comprises:
detecting a remaining space of the local storage unit;
and when the residual space of the local storage unit is smaller than a first preset threshold value, uploading the residual video to the cloud service platform, and when the residual space of the local storage unit is larger than a second preset threshold value, uploading the residual video to the cloud service platform at a first preset time.
10. The method of any one of claims 1-7, wherein uploading the remaining video to a cloud service platform at a first preset time comprises:
determining that the current electric quantity is smaller than a preset electric quantity, and uploading the residual video to a cloud service platform at a first preset time;
the method further comprises the following steps:
and when the camera is detected to be in a charging state, directly uploading the residual video to the cloud service platform.
11. A video processing system, the system comprising:
the video acquisition system is used for acquiring videos;
the wireless router is used for providing a wireless data network so that the video acquisition system can send acquired videos to the cloud service platform through the wireless data network;
the cloud service platform is used for storing the video acquired by the video acquisition system;
and the terminal equipment is used for configuring and controlling the image acquisition system through an application program and inquiring the video stored in the cloud service platform.
12. A video uploading apparatus, the apparatus comprising:
the acquisition module is used for acquiring a video;
the communication module is used for uploading the first N frames of images in the video to a cloud service platform; n is an integer greater than or equal to 1;
the processing module is used for storing the residual videos except the first N frames of images in the video in a local storage unit;
the communication module is further used for uploading the remaining videos to the cloud service platform at a first preset time.
13. An electronic device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory and for executing the steps comprised by the method of any one of claims 1 to 10 in accordance with the obtained program instructions.
14. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions which, when executed by a computer, cause the computer to carry out the method according to any one of claims 1-10.
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