CN116186739A - Multimedia behavior data analysis system based on big data - Google Patents
Multimedia behavior data analysis system based on big data Download PDFInfo
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Abstract
The invention discloses a multimedia behavior data analysis system based on big data, which relates to the technical field of multimedia data analysis and solves the technical problems that before specific display, display data are required to be transmitted, the transmitted data are not encrypted, so that the data are easily stolen in the transmission process, the theft of private data is easily caused, different multimedia data are subjected to priority ranking, then the capacity of the multimedia data subjected to the priority ranking is reduced, the redundant data in the multimedia data are subjected to the mark replacement by adopting corresponding redundant marks, the capacity is reduced, the transmission rate in the transmission process of the multimedia data can be improved, and the transmission time is shortened; and then the multimedia data is cut off and encrypted, the binding data packet generated after the cut off and encryption is transmitted, the privacy can be improved in the transmission process, the situation that the multimedia data is stolen by external personnel in the transmission process can be effectively avoided, and the overall safety is improved.
Description
Technical Field
The invention belongs to the technical field of multimedia data analysis, and particularly relates to a multimedia behavior data analysis system based on big data.
Background
The multimedia behavior data, which is user characteristic data, must be analyzed by using a proper measurement method, and plays an important role in evaluating whether the usability target is reached and comparing competing products in the usability engineering life cycle.
The invention discloses a method and a device for analyzing user attributes, and the patent publication number is CN 106599191B. The method comprises the following steps: acquiring behavior data of a user aiming at the multimedia resources of the first class set; determining a behavior index of the user for the multimedia resources of the first class subset based on the behavior data of the user for the multimedia resources of the first class subset of the first class set, the number of classes of the first class subset, and the total number of classes of the first class set; and determining the attribute of the user according to the behavior index. According to the embodiment of the disclosure, the behavior index of the user for the multimedia resources of the first class subset can be determined based on the behavior data of the user for the multimedia resources of the first class set, and further the attribute of the user is determined, so that the accuracy and the reliability of data analysis for the user are improved.
The existing data analysis system operates data according to the user behaviors of multimedia so as to display different multimedia data, but before specific display, the display data is required to be transmitted, and the transmitted data is not encrypted, so that the data is easily stolen in the transmission process, and some private data is easily stolen.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a multimedia behavior data analysis system based on big data, which is used for solving the technical problems that before specific display, display data are required to be transmitted, and the transmitted data are not encrypted, so that the data are easily stolen in the transmission process, and some private data are easily stolen.
To achieve the above object, an embodiment according to a first aspect of the present invention provides a multimedia behavior data analysis system based on big data, including a data acquisition end and a data analysis end;
the data analysis end comprises a behavior data analysis unit, a database, a data capacity reduction unit, a data truncation encryption unit, a standard and good data display unit and a platform monitoring unit;
the data acquisition end is used for acquiring behavior data generated by different multimedia data in the database and transmitting the acquired behavior data to the data analysis end, wherein the behavior data comprises ornamental times and ornamental time length corresponding to the multimedia data;
the behavior data analysis unit confirms a certain monitoring period, performs combined analysis on the ornamental times and ornamental time of the multimedia data in the monitoring period, performs priority ranking on different multimedia data, and transmits the multimedia data subjected to the priority ranking to the database, wherein the specific mode is as follows:
limiting a monitoring period T, wherein T is a preset value, and marking the ornamental times of different multimedia data as GS i Wherein i represents different multimedia data, and the ornamental total time length of the different multimedia data is marked as SC i And simultaneously acquiring the total duration of different multimedia data and marking the total duration as ZS i ；
By using
Obtaining the processing parameter CL to be analyzed i Wherein C1 and C2 are predetermined fixed factor factors, wherein ∈>
For the duty ratio parameter of the ornamental total duration of different multimedia data, obtaining the to-be-analyzed processing parameters CL of a plurality of different multimedia data in the detection period T i ；
According to the processing parameters CL to be analyzed i A plurality of groups of different multimedia data are prioritized, and the multimedia data are marked by a priority ranking mark k, wherein k=1, 2, … … and n;
the data capacity reduction unit extracts the multimedia data with the priority order of the first five groups from the database, reduces the capacity of the first five groups of multimedia data, and transmits the multimedia data with the reduced capacity to the data interception encryption unit, wherein the specific mode is as follows:
analyzing different multimedia data, checking the redundant data existing in the multimedia data, and adopting different redundancy marks RY for the determined redundant data k-t Marking, wherein k represents different multimedia data, t represents different redundancy data, determining corresponding redundancy data in the multimedia data, randomly preserving a group of redundancy data according to the determined redundancy data, and adopting redundancy mark RY k-t Binding with it, and then adopting the redundant mark RY k-t Replacing other identical redundant data;
sequentially completing capacity reduction processing of a plurality of different multimedia data, improving the overall effect of capacity reduction, and transmitting the reduced multimedia data into a data truncation encryption unit;
the data interception and encryption unit is used for intercepting and encrypting the multimedia data sent by the data capacity reduction unit, intercepting and encrypting different data streams according to different sequencing numbers of the data streams in the multimedia data, binding the intercepted and encrypted data streams into data packets, and transmitting the data packets into the standard data display unit, wherein the specific mode is as follows:
marking different data streams by adopting a digital mark S according to the received overall multimedia data and the ordering mode of the data streams, wherein S=1, 2, … … and m;
cutting off a single group of data streams into two groups of micro data streams, marking the micro data stream arranged in front as S-1, marking the micro data stream arranged behind as S-2, binding the groups of micro data streams after cutting off the groups of data streams, generating a binding data packet, and transmitting the binding data packet into a standard data display unit;
the standard-good data display unit is used for receiving the binding data package, integrating a plurality of groups of data streams according to the received binding data package, sequentially supplementing redundant data through a redundant mark, and displaying the multimedia data needing front-end display in a sequencing way through a priority sequencing mark, wherein the specific mode is as follows:
extracting the marks of the micro data streams, integrating and connecting the micro data streams with the same marks S, sequencing the micro data streams of S-1 before, sequencing the micro data streams of S-2 after, and integrating to obtain the data stream with the digital marks S;
sequentially integrating a plurality of groups of data streams according to the digital marks S to obtain multimedia data, extracting and analyzing redundant marks in the multimedia data, extracting redundant data with the redundant marks, filling the redundant data to the positions with the same redundant marks, replacing the corresponding redundant marks, and deleting the redundant marks in the multimedia data after the redundant data are completely filled to obtain original multimedia data;
the method comprises the steps of displaying the multimedia data sequenced in front preferentially through priority sequencing marks in the multimedia data, and displaying different multimedia data sequentially according to the sequence of the priority sequencing marks;
and the platform monitoring unit is used for counting the sources of the multimedia data displayed by the standard and good data display unit and adding points to different supply platforms.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of collecting behavior data generated by different multimedia data in a database in advance, sorting the priority of the different multimedia data according to the collected behavior data, performing capacity reduction on the multimedia data subjected to priority sorting, marking and replacing redundant data in the multimedia data by corresponding redundant marks, performing capacity reduction, and improving the transmission rate in the transmission process of the multimedia data and shortening the transmission time length;
and then the multimedia data is cut off and encrypted, the binding data packet generated after the cut off and encryption is transmitted, the privacy can be improved in the transmission process, the situation that the multimedia data is stolen by external personnel in the transmission process can be effectively avoided, and the overall safety is improved.
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Fig. 1 is a schematic diagram of a principle frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present application provides a multimedia behavior data analysis system based on big data, which includes a data acquisition end and a data analysis end;
the data acquisition end is electrically connected with the input end of the data analysis end, the data analysis end comprises a behavior data analysis unit, a database, a data capacity reduction unit, a data interception encryption unit and a standard and good data display unit and platform monitoring unit, the behavior data analysis unit is in bidirectional connection with the database, the behavior data analysis unit is electrically connected with the input end of the data capacity reduction unit, the data capacity reduction unit is electrically connected with the input end of the data interception encryption unit, the data interception encryption unit is electrically connected with the input end of the standard and good data display unit, and the standard and good data display unit is electrically connected with the input end of the platform monitoring unit;
the data acquisition end is used for acquiring behavior data generated by different multimedia data in the database and transmitting the acquired behavior data to the data analysis end, wherein the behavior data comprises ornamental times and ornamental time length corresponding to the multimedia data;
the behavior data analysis unit confirms a certain monitoring period, and performs merging analysis on the number of times and the time length of viewing of the multimedia data in the monitoring period, so as to prioritize different multimedia data, wherein the specific mode of merging analysis is as follows:
the monitoring period T is limited, and T is a preset value, the specific value of the T is determined by an operator according to experience, wherein the T is generally 12h, and the ornamental times of different multimedia data are marked as GS i Wherein i represents different multimedia data, will notThe ornamental total time length of the multimedia data is marked as SC i And simultaneously acquiring the total duration of different multimedia data and marking the total duration as ZS i ；
By using
Obtaining the processing parameter CL to be analyzed i Wherein C1 and C2 are both preset fixed coefficient factors, the specific values of which are set by operators, wherein ∈2>
For the duty ratio parameter of the ornamental total duration of different multimedia data, obtaining the to-be-analyzed processing parameters CL of a plurality of different multimedia data in the detection period T i ；
According to the processing parameters CL to be analyzed i And prioritizing the plurality of sets of different multimedia data and marking the multimedia data with a prioritization flag k, wherein k=1, 2, … …, n, where k is 1, representing that the multimedia data is prioritized as the first bit.
The data capacity reduction unit extracts the multimedia data with priority ordered as the first 5 from the database, and performs capacity reduction on the first five groups of multimedia data (processes the redundant data inside the multimedia data), wherein the specific manner of performing capacity reduction is as follows:
analyzing different multimedia data, checking the redundant data existing in the multimedia data, and adopting different redundancy marks RY for the determined redundant data k-t Marking, wherein k represents different multimedia data, t represents different redundancy data, determining corresponding redundancy data in the multimedia data, randomly preserving a group of redundancy data according to the determined redundancy data, and adopting redundancy mark RY k-t Binding with it, and then adopting the redundant mark RY k-t Replacing other identical redundant data;
and sequentially completing capacity reduction processing of a plurality of different multimedia data, improving the overall effect of capacity reduction, and transmitting the reduced multimedia data into the data interception encryption unit.
In combination with the actual application scene, the original multimedia data are 1, 2, 3, 4, 5, 6, 3, 2 and 1, the numbers only represent the corresponding data inside, wherein the inside is provided with three groups of redundant data, and RY is adopted k-1 Binding with data having a number of 1, using RY k-2 Binding with data having number 2, using RY k-3 Binding with data with the number of 3;
the corresponding redundant marks are adopted to replace redundant data, and the representation forms after replacement are as follows: 1RY k-1 、2RY k-2 、3RY k-3 、4、5、6、RY k-3 、RY k-2 、RY k-1 The internal capacity of the marked redundant data is fully reduced;
the data interception and encryption unit is used for intercepting and encrypting the multimedia data sent by the data capacity reduction unit, intercepting and encrypting different data streams according to different sequence numbers of the data streams in the multimedia data, binding the intercepted and encrypted data streams into data packets and transmitting the data packets into the standard data display unit, wherein the specific mode for intercepting and encrypting is as follows:
marking different data streams by adopting a digital mark S according to the received overall multimedia data and the ordering mode of the data streams, wherein S=1, 2, … … and m, when the digital mark S is 1, the corresponding data stream is represented as a first group of data streams, and the like, and when the digital mark S is m, the corresponding data stream is represented as a last group of data streams;
cutting off a single group of data streams into two groups of micro data streams, marking the micro data stream arranged in front as S-1, marking the micro data stream arranged behind as S-2, binding the groups of micro data streams after cutting off the groups of data streams, generating a binding data packet, and transmitting the binding data packet into a standard data display unit.
The standard-good data display unit is used for receiving the binding data package, integrating a plurality of groups of data streams according to the received binding data package, then supplementing redundant data through a redundant mark, and sequentially displaying the multimedia data needing front-end display in a sequencing way through a priority sequencing mark, wherein the specific mode for integrating is as follows:
extracting the marks of the micro data streams, integrating and connecting the micro data streams with the same marks S, sequencing the micro data streams of S-1 before, sequencing the micro data streams of S-2 after, and integrating to obtain the data stream with the digital marks S;
sequentially integrating a plurality of groups of data streams according to the digital marks S to obtain multimedia data, extracting and analyzing redundant marks in the multimedia data, extracting redundant data with the redundant marks, filling the redundant data to the positions with the same redundant marks, replacing the corresponding redundant marks, and deleting the redundant marks in the multimedia data after the redundant data are completely filled to obtain original multimedia data;
and displaying the multimedia data sequenced in front preferentially through the priority sequencing marks inside the multimedia data, and then displaying different multimedia data sequentially according to the sequence of the priority sequencing marks.
The platform monitoring unit counts the sources of the multimedia data displayed by the standard data display unit, performs scoring on different supply platforms, transmits the scoring result to an external display terminal for external personnel to check, and performs scoring on the corresponding supply platform when the multimedia data displayed by the standard data display unit is sourced from the corresponding supply platform, wherein the specific scoring value is drawn by an operator according to experience;
when the multimedia data displayed by the standard and good data display unit is sourced from a certain video platform in combination with an actual application scene, the video platform is scored, so that a plurality of video platforms for providing the multimedia data can be scored differently, and a corresponding operator can extract different multimedia data from the certain video platform according to scoring parameters of the different video platforms.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows: the method comprises the steps of collecting behavior data generated by different multimedia data in a database in advance, sorting the priority of the different multimedia data according to the collected behavior data, performing capacity reduction on the multimedia data subjected to priority sorting, marking and replacing redundant data in the multimedia data by corresponding redundant marks, performing capacity reduction, and improving the transmission rate in the transmission process of the multimedia data and shortening the transmission time length;
and then the multimedia data is cut off and encrypted, the binding data packet generated after the cut off and encryption is transmitted, the privacy can be improved in the transmission process, the situation that the multimedia data is stolen by external personnel in the transmission process can be effectively avoided, and the overall safety is improved.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. The multimedia behavior data analysis system based on big data is characterized by comprising a data acquisition end and a data analysis end;
the data analysis end comprises a behavior data analysis unit, a database, a data capacity reduction unit, a data truncation encryption unit, a standard and good data display unit and a platform monitoring unit;
the data acquisition end is used for acquiring behavior data generated by different multimedia data in the database and transmitting the acquired behavior data to the data analysis end, wherein the behavior data comprises ornamental times and ornamental time length corresponding to the multimedia data;
the behavior data analysis unit confirms a certain monitoring period, performs combined analysis on the ornamental times and ornamental time of the multimedia data in the monitoring period, performs priority ranking on different multimedia data, and transmits the multimedia data subjected to the priority ranking to the database;
the data capacity reduction unit extracts the multimedia data with the priority order of the first five groups from the database, reduces the capacity of the first five groups of multimedia data, and transmits the multimedia data with the reduced capacity to the data interception encryption unit;
the data interception and encryption unit is used for intercepting and encrypting the multimedia data sent by the data capacity reduction unit, intercepting and encrypting different data streams according to different sequence numbers of the data streams in the multimedia data, binding the intercepted and encrypted data streams into data packets, and transmitting the data packets into the standard data display unit;
the standard-good data display unit is used for receiving the binding data package, integrating a plurality of groups of data streams according to the received binding data package, then supplementing redundant data through a redundant mark, and finally displaying the multimedia data needing front-end display in a sequence through a priority sequencing mark.
2. The system for analyzing multimedia behavior data based on big data according to claim 1, wherein the specific way of performing the combined analysis on the number of views and the view duration of the multimedia data by the behavior data analyzing unit is as follows:
limiting a monitoring period T, wherein T is a preset value, and marking the ornamental times of different multimedia data as GS i Wherein i represents different multimedia data, and the ornamental total time length of the different multimedia data is marked as SC i And simultaneously acquiring the total duration of different multimedia data and marking the total duration as ZS i ；
By using
Obtaining the processing parameter CL to be analyzed i Wherein C1 and C2 are predetermined fixed factor factors, wherein ∈>
For the duty ratio parameter of the ornamental total duration of different multimedia data, obtaining the to-be-analyzed processing parameters CL of a plurality of different multimedia data in the detection period T i ；
According to the processing parameters CL to be analyzed i A number of different sets of multimedia data are prioritized and marked with a prioritization mark k, where k = 1, 2, … …, n.
3. The system for analyzing big data-based multimedia behavior data according to claim 2, wherein the data capacity reduction unit performs capacity reduction on the first five groups of multimedia data in the following specific ways:
analyzing different multimedia data, checking the redundant data existing in the multimedia data, and adopting different redundancy marks RY for the determined redundant data k-t Marking, wherein k represents different multimedia data, t represents different redundancy data, determining corresponding redundancy data in the multimedia data, randomly preserving a group of redundancy data according to the determined redundancy data, and adopting redundancy mark RY k-t Binding with it, and then adopting the redundant mark RY k-t Replacing other identical redundant data;
and sequentially completing capacity reduction processing of a plurality of different multimedia data, improving the overall effect of capacity reduction, and transmitting the reduced multimedia data into the data interception encryption unit.
4. A multimedia behavior data analysis system based on big data according to claim 3, wherein the data truncated encryption unit performs truncated encryption on different data streams in the following specific ways:
marking different data streams by adopting a digital mark S according to the received overall multimedia data and the ordering mode of the data streams, wherein S=1, 2, … … and m;
cutting off a single group of data streams into two groups of micro data streams, marking the micro data stream arranged in front as S-1, marking the micro data stream arranged behind as S-2, binding the groups of micro data streams after cutting off the groups of data streams, generating a binding data packet, and transmitting the binding data packet into a standard data display unit.
5. The system for analyzing big data based on multimedia behavior data according to claim 4, wherein the standard data display unit integrates a plurality of data streams in a specific manner:
extracting the marks of the micro data streams, integrating and connecting the micro data streams with the same marks S, sequencing the micro data streams of S-1 before, sequencing the micro data streams of S-2 after, and integrating to obtain the data stream with the digital marks S;
sequentially integrating a plurality of groups of data streams according to the digital marks S to obtain multimedia data, extracting and analyzing redundant marks in the multimedia data, extracting redundant data with the redundant marks, filling the redundant data to the positions with the same redundant marks, replacing the corresponding redundant marks, and deleting the redundant marks in the multimedia data after the redundant data are completely filled to obtain original multimedia data;
and displaying the multimedia data sequenced in front preferentially through the priority sequencing marks inside the multimedia data, and then displaying different multimedia data sequentially according to the sequence of the priority sequencing marks.
6. The system of claim 5, wherein the platform monitor unit counts the sources of the multimedia data displayed by the standard data display unit and scores different supply platforms.
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