WO2020178846A1 - A system and method for unified viewership and analysis data on a visualisation platform. - Google Patents
A system and method for unified viewership and analysis data on a visualisation platform. Download PDFInfo
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- WO2020178846A1 WO2020178846A1 PCT/IN2020/050061 IN2020050061W WO2020178846A1 WO 2020178846 A1 WO2020178846 A1 WO 2020178846A1 IN 2020050061 W IN2020050061 W IN 2020050061W WO 2020178846 A1 WO2020178846 A1 WO 2020178846A1
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/845—Structuring of content, e.g. decomposing content into time segments
- H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
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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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
- H04N21/8405—Generation or processing of descriptive data, e.g. content descriptors represented by keywords
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/85—Assembly of content; Generation of multimedia applications
- H04N21/854—Content authoring
- H04N21/8547—Content authoring involving timestamps for synchronizing content
Abstract
A system for unified viewership and analysis data, of a video file, on a visualisation platform, comprising:a manual input mechanism to enter manual text inputs per video file, per split video / constituent split file; a video file analyser and a tagger to analyse stored video files to provide a first and second set of tags to said first and second video; a video file splitter to split said first video file into pre-defined first constituents and said second video file into pre-defined second constituents; a first insight determinator to provide a first insight marker (SOD);a second insight determinator to provide a second insight marker (SOV); a third insight determinator to provide a third insight marker; an analysis engine analysing said first insight marker, said second insight marker, and said third insight marker; to form a minute-level impression marker; and a unified teleview snapshot platform.
Description
TITLE OF THE INVENTION
A SYSTEM AND METHOD FOR UNIFIED VIEWERSHIP AND ANALYSIS DATA ON A VISUALISATION PLATFORM
This application claims priority from Indian Patent Application No. 201921008126 filed on March 01, 2019.
FIELD OF THE INVENTION:
This invention relates to the field of communications engineering.
Particularly, this invention relates to a system and method for unified viewership and analysis data on a visualisation platform.
BACKGROUND OF THE INVENTION:
What content a broadcaster decides to air, has ramification on the eyeballs it can enjoy, which in turn impacts the advertisement revenue of the channel. In the media and broadcast industry, there is an enormous amount of data with no insights to the data.
Traditionally, a data analyst is employed to perform manual tasks of analyising video logs, comparing viewership data, entering data, and analysing all of the above. This is prone to human error.
There is a need for a system and method which provides unified viewership data on a visualisation platform in a user-friendly, intuitive, modular, and customisable format.
OBJECTS OF THE INVENTION:
An object of the invention is to provide a system and method which provides unified viewership and analysis data on a visualisation platform.
Another object of the invention is to provide a system and method which provides advanced visual analytics and insights in respect of media and broadcast data.
Yet another object of the invention is to provide a system and method which allows broadcasters to plan and optimize the opportunity cost of content playout.
Still another object of the invention is to provide a system and method which provides insights on a click.
SUMMARY OF THE INVENTION:
According to this invention, there is provided a system for unified viewership and analysis data, of a video file, on a visualisation platform, said system comprising:
- a manual input mechanism configured to enable a user to enter manual text inputs per video file, per split video file and / or per constituent split file, in that, tags, per video file, split video file, or constituent split file, being selected basis said manual inputs;
- a video file analyser and a tagger configured to analyse stored video files to provide a first set of tags to said first video file and a second set of tags to a second video file, said tags relating at least one of a stories’ tags, breaks’ tags, characters’ tags, targets’ tags, regions’ tags, genres’ tags, channels’ tags, and languages’ tags;
- a video file splitter configured to split said first video file into pre-defined first constituents and said second video file into pre-defined second constituents, said pre-defined constituents being based on tags relating at least one of stories, breaks, character, targets, regions, genres, channels, and languages;
- a first insight determinator configured to determine and correlate each first split video file, of a first channel, in correlation with at least a time statistic associated with each split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a first insight marker (SOD) (first set of data);
- a second insight determinator configured to determine and correlate each first split video file, of a first channel, in correlation with at least a viewership statistic associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a second insight marker (SOV) (second set of data);
- a third insight determinator configured to determine and correlate each first split video file, of a first channel in correlation with at least a tag associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a third insight marker (third set of data); and
- an analysis engine analysing said first insight marker, said second insight marker, and said third insight marker; to forms a minute-level impression marker (i.e. minute-by-minute fourth set of data); and
- a unified teleview snapshot platform configured to provide a visual display of said video file, said split video file, and said minute-level impression marker.
Typically, said manual input mechanism is configured with at least one of the following input entry mechanisms / field:
- Master Textual entries concerning the video file;
- Master Tags concerning the video file;
- Master Textual entries concerning each of split video file;
- Master Tags concerning each of split video file;
- Slave Textual entries concerning the video file;
- Slave Tags concerning the video file;
- Slave Textual entries concerning each of split video file; and
- Slave Tags concerning each of split video file.
Typically, said manual input mechanism is configured with at least one input entry mechanisms / field, characterised in that, a first correlator correlates each of said master textual entry, master tags, slave textual entries, slave tags; with a constituent split file to obtain:
- Master Textual entries per split video file;
- Master Tags concerning per split video file;
- Slave Textual entries per split video file; and
- Slave Tags per split video file.
Typically, said manual input mechanism is configured with at least one input entry mechanisms / field, characterised in that, asecond correlator correlates correlates time stamps; with a constituent split file to obtain:
- Master Textual entries per video file per time stamp;
- Master Tags per video file per time stamp;
- Master Textual entries per split video file per time stamp;
- Master Tags per split video file per time stamp;
- Slave Textual entries per video file per time stamp;
- Slave Tags per video file per time stamp;
- Slave Textual entries per split video file per time stamp; and
- Slave Tags per split video file per time stamp.
Typically, said video file splitter is configured to split said video file into pre-defined constituents, said splitting being of a second-by- second splitting to obtain second-wise split constituent file, image -by-image splitting to obtain image-wise split constituent file, frame- by-frame splitting to obtain frame-wise split constituent file, or minute-by-minute splitting to obtain minute-wise split constituent file; thereby achieving splitting of a file into constituent split files of split video file.
Typically, said unified teleview snapshot platform comprises a video Application Program Integration layer (API) integrated with a third party video in a teleview module, of said system, in order to allow for playing said video file for a selected chanel, date, and time period selected by a user.
Typically, said unified teleview snapshot platform comprises a story ranking platform comprising:
- a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a stories’ tag to provide first collated data;
- a story ranking portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
- a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
Typically, said unified teleview snapshot platform comprises a anchor performance platform comprising:
- a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a characters’ tag to provide first collated data;
- an anchor performance portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
- a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
Typically, said system comprises:
- a first tier (Tl) relating to application servers configured to receive at least a first video file on a first channel and at least a second video file on a second channel;
- a second tier (T2) relating to database servers configured to store said received video files, of separate channels in separate database servers; and
- a third tier (T3) relatingto a powerful Extract, Transform, Load (ETL) process configured to receives data from said database, data relating to viewership statistics, and data relating to news content for further processing.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
The invention will now be described in relation to the accompanying drawings, in which: FIGURE 1 illustrates an architecture of the system;
FIGURE 2 illustrates a schematic block diagram of the system;
FIGURE 3 illustrates a complete solution overview;
FIGURE 4 illustrates data flow of the system and method;
FIGURE 5 illustrates a schematic view of the teleview snapshot platform;
FIGURE 6 illustrates a schematic view of the story ranking platform;
FIGURE 7 illustrates a schematic view of the story building platform; and
FIGURE 8 illustrates a schematic view of the anchor performance platform.
DETAILED DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
According to this invention, there is provided a system and method for unified viewership and analysis data on a visualisation platform.
FIGURE 1 illustrates an architecture of the system of this invention.
In at least an embodiment, the system comprises a 3 -tier architecture.
In at least an embodiment of the 3-tier architecture, a first tier (Tl) relates to an application server configured to deploy the complete system, of this invention for visualisation, designing, and functionality.
In at least an embodiment of the 3 -tier architecture, a second tier (T2) relates to a database server to support a large dataset and tuned the database to have a seamless user experience and performance.
In at least an embodiment of the 3 -tier architecture, a third tier (T3) relates to a powerful Extract, Transform, Load (ETL) process. Since there are lots of data preparation involved, whilst the system and method of this invention is used, for example breaking the stories, anchor, guest, personality minute by minute and calculating and mapping viewership numbers for multiple targets, regions, multiple languages, and the like.
FIGURE 2 illustrates a schematic block diagram of the system of this invention.
FIGURE 3 illustrates a complete solution overview of this invention.
FIGURE 4 illustrates data flow of the system and method of this invention.
In at least an embodiment, a video file receiving platform receives video files. The system further comprises a video file analyser (VFA) and a tagger (TG) configured to analyse stored video files (VI, V2, V3, . Vn) to provide a first set of tags to said first video file and a second set of tags to a second video file, said tags relating at least one category of tags selected from a stories’ tags, breaks’ tags, characters’ tags, targets’ tags, regions’ tags, genres’ tags, channels’ tags, and languages’ tags. The video file analyser is further comprised of at least a manual input mechanism (MIM) which allows a user to enter manual text inputs per video file, per split video file and / or per constituent split file. Tags, per video file,
split video file, or constituent split file, are selected basis these manual inputs. The manual input mechanism can be configured with at least one of the following input entry mechanisms / field:
Master Textual entries concerning the video file;
Master Tags concerning the video file;
Master Textual entries concerning each of split video file;
Master Tags concerning each of split video file;
Slave Textual entries concerning the video file;
Slave Tags concerning the video file;
Slave Textual entries concerning each of split video file;
Slave Tags concerning each of split video file.
A first correlator correlates each of said master textual entry, master tags, slave textual entries, slave tags; with a constituent split file to obtain:
Master Textual entries per split video file;
Master Tags concerning per split video file;
Slave Textual entries per split video file;
Slave Tags per split video file.
A second correlator correlates time stamps; with a constituent split file to obtain:
Master Textual entries per video file per time stamp;
Master Tags per video file per time stamp;
Master Textual entries per split video file per time stamp;
Master Tags per split video file per time stamp;
Slave Textual entries per video file per time stamp;
Slave Tags per video file per time stamp;
Slave Textual entries per split video file per time stamp;
Slave Tags per split video file per time stamp.
In at least an embodiment, a video file splitter (VFS) is configured to split said first video file into pre-defined first constituents and said second video file into pre-defined second constituents, said pre-defined constituents are based on tags relating at least one of stories,
breaks, character, targets, regions, genres, channels, and languages. Splitting may be second- by-second splitting, image-by-image splitting, frame -by-frame splitting, or minute-by-minute splitting of a file into constituent split files of split video file. Said splitting being of a second- by- second splitting to obtain second-wise split constituent file, image-by-image splitting to obtain image-wise split constituent file, frame -by-frame splitting to obtain frame-wise split constituent file, or minute-by-minute splitting to obtain minute-wise split constituent file; thereby achieving splitting of a file into constituent split files of split video file
An ETL process receives data from multiple files, data relating to viewership statistics, and data relating to news content which it processes. A data controller moves data from meta tables to main tables. The data is presented in smartly visualized dashboards, such that the ‘Insights’ get self-mined rather than the user having to perform painstakingly complex and time-consuming analysis.
In at least an embodiment, the system and method of this invention is configured to provide a unified teleview snapshot platform.
FIGURE 5 illustrates a schematic view of the teleview snapshot platform.
In the teleview snapshot platform of this invention, channel videos have been integrated in the system itself, so that a user can see how viewership moves as the video plays. A video Application Program Integration layer (API) has been integrated with a third party video in a teleview module of this system in order to allow for playing video for selected chanel, date, and time period selected by users.
In at least an embodiment, the system and method of this invention is configured to provide a story ranking platform.
FIGURE 6 illustrates a schematic view of the story ranking platform.
In the story ranking platform of this invention, the platform enables users to see ranking of all stories played vis-a-vis competition and the overall genre. This can be analyzed in terms of
Share of Viewership (SOV), Share of Duration (SOD) and Yield (SOV/SOD). This module helps user to understand return on investment (ROI) for every story.
The story ranking platform breaks down every story into pre-defined discrete segments and the ETL is configured to map viewership against these pre-defined discrete segments.
In at least an embodiment, there is provided a first insight determinator (ID1) configured to determine and correlate each first split video file (constituent split file), of a first channel, in correlation with at least a time statistic associated with each split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a first insight marker (SOD). This forms first set of data.
In at least an embodiment, there is provided a second insight determinator (ID2) configured to determine and correlate each first split video file (constituent split file), of a first channel, in correlation with at least a viewership statistic associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a second insight marker (SOV). This forms second set of data.
In at least an embodiment, there is provided a third insight determinator (ID3) configured to determine and correlate each first split video file (constituent split file), of a first channel in correlation with at least a tag associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a third insight marker. This forms third set of data.
SOD (Share of Duration) = (Sum of Duration of the particular story of the channel/
Sum of Duration of all stories of that channel)* 100
SOV (Share of Viewership) = (Sum of Normalized Impresions of the particular story of the channel / Sum of Normalized Impresions of all stories of that channel)* 100
Yield = SOV/SOD
Normalized Impression = (lmpresions'000 of the story*Duration in seconds for which the story was present)/! 800 (30 Minutes) as per the Industries Standard.
Once these measures are obtained, stories are then sorted basis the selected measure which gives the Rank of each story in the Genre.
In at least an embodiment, there is provided a unified teleview snapshot platform (UTSP) configured to provide a visual display of said video file, said split video file.
In at least an embodiment, the unified teleview snapshot platform comprising a story ranking platform comprising:
a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a stories’ tag to provide first collated data;
a story ranking portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
In at least an embodiment, the system and method of this invention is configured to provide a story building platform.
Using the first insight marker, the second insight marker, and the third insight marker; an analysis engine (AE) analyses and forms a minute-level impresseion marker (i.e. minute- by-minute fourth set of data) is formed; which was earlier (prior art) not possible.
Thus, a minute level impression marker is attributed to video files (manual input stories) basis the percentage of duration for which the video file (story) was present in the defined time duration (minute). Thus, for the first time, granular level information is obtained; which was earlier not possible to be obtained / identified.
According to a non-limiting exemplary embodiment considering a video file (story) that ran between 22:53:35 and 22:56:40 and assuming the impression of every minute starting from 22:53:00 to 22:57:00 was as follows, then the story impression was calculated as:
FIGURE 7 illustrates a schematic view of the story building platform.
In the story building platform of this invention, the platform enables users to analyse their own channel’s channel performance vis-a-vis what was playing on competition channel and the break strategy of the comptition channel.
Intra Day Story Performance: Here, the graph is plotted based on impressions for the channel with following colour code
o Red: Selected Story
o Yellow: Break
o Grey: Other Story
The story building platform breaks down every story into pre-defined discrete segments and the ETL is configured to map viewership against these pre-defined discrete segments.
In at least an embodiment, the system and method of this invention is configured to provide an anchor performance platform.
FIGURE 8 illustrates a schematic view of the anchor performance platform.
In at least an embodiment, the unified teleview snapshot platform comprising a anchor performance platform comprising:
a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a characters’ tag to provide first collated data;
an anchor performance portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
In the anchor performance platform of this invention, the platform enables users to see the ranking of anchors, for how much time they were on screen, and the viewership garnered by them. i. KPI Blocks: The top Anchors of this section are decided based on Viewership/ Airtime (Sum of all impressions or lengths of Anchors in selected time period) a. Duration: Sum of lengths of Anchor in the selected date range.
b. Impressions: Sum of impressions of Anchor in the selected date range. c. Imp’OOO/Min: Total Impressions/Duration (in Minutes)
d. Days of Presence: If an Anchor is present on that particular day, the day is marked as green or as grey if the Anchor is absent. ii. Anchor Performance: The graph is drawn based on the impressions for that particular minute. a. Red: Anchor Present (Any/Selected/Top)
b. Grey: Others (including breaks)
Anchor Duration: Total no of minutes tagged as Anchor being present
Others: Sum of all the minutes where an Anchor is not present.
The anchor monitoring platform maps an anchor with respect to a story and the same is further mapped with viewership statistics / data.
In at least an embodiment, the system and method of this invention is configured to provide an authentication platform using device fingerprint.
In the anchor performance platform, of this invention, using device fingerprint the platform enables avoidance of multiple logins through same credentials and un-authorised login. An additional security, is configured, apart from the basic password policies called device finger print to validate the device used by the user.
The TECHNICAL ADVANCEMENT of this invention lies in providing a system and method which provides unified viewership and analysis data on a visualisation platform in order to further provide advanced visual analytics and insights in respect of media and broadcast data. Thereby, a variety of insights in can be obtained in a unified view, thereby bringing down time of complex analysis by 90% and improving manpower efficiency.
While this detailed description has disclosed certain specific embodiments for illustrative purposes, various modifications will be apparent to those skilled in the art which do not constitute departures from the spirit and scope of the invention as defined in the following claims, and it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the invention and not as a limitation.
Claims
1. A system for unified viewership and analysis data, of a video file, on a visualisation platform, said system comprising:
a manual input mechanism configured to enable a user to enter manual text inputs per video file, per split video file and / or per constituent split file, in that, tags, per video file, split video file, or constituent split file, being selected basis said manual inputs;
a video file analyser and a tagger configured to analyse stored video files to provide a first set of tags to said first video file and a second set of tags to a second video file, said tags relating at least one of a stories’ tags, breaks’ tags, characters’ tags, targets’ tags, regions’ tags, genres’ tags, channels’ tags, and languages’ tags;
a video file splitter configured to split said first video file into pre-defined first constituents and said second video file into pre-defined second constituents, said pre defined constituents being based on tags relating at least one of stories, breaks, character, targets, regions, genres, channels, and languages;
a first insight determinator configured to determine and correlate each first split video file, of a first channel, in correlation with at least a time statistic associated with each split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a first insight marker (SOD) (first set of data);
a second insight determinator configured to determine and correlate each first split video file, of a first channel, in correlation with at least a viewership statistic associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a second insight marker (SOV) (second set of data);
a third insight determinator configured to determine and correlate each first split video file, of a first channel in correlation with at least a tag associated with each first split video file and in correlation with a corresponding second split video file, of a second channel, in order to provide a third insight marker (third set of data);
an analysis engine analysing said first insight marker, said second insight marker, and said third insight marker; to forms a minute-level impression marker (i.e. minute- by-minute fourth set of data); and
a unified teleview snapshot platform configured to provide a visual display of said video file, said split video file, and said minute-level impression marker.
2. The system as claimed in claim 1 wherein, said manual input mechanism being configured with at least one of the following input entry mechanisms / field:
Master Textual entries concerning the video file;
Master Tags concerning the video file;
Master Textual entries concerning each of split video file;
Master Tags concerning each of split video file;
Slave Textual entries concerning the video file;
Slave Tags concerning the video file;
Slave Textual entries concerning each of split video file; and
Slave Tags concerning each of split video file.
3. The system as claimed in claim 1 wherein, said manual input mechanism being configured with at least one input entry mechanisms / field, characterised in that, a first correlator correlates each of said master textual entry, master tags, slave textual entries, slave tags; with a constituent split file to obtain:
Master Textual entries per split video file;
Master Tags concerning per split video file;
Slave Textual entries per split video file; and
Slave Tags per split video file.
4. The system as claimed in claim 1 wherein, said manual input mechanism being configured with at least one input entry mechanisms / field, characterised in that, asecond correlator correlates correlates time stamps; with a constituent split file to obtain:
Master Textual entries per video file per time stamp;
Master Tags per video file per time stamp;
Master Textual entries per split video file per time stamp;
Master Tags per split video file per time stamp;
Slave Textual entries per video file per time stamp;
Slave Tags per video file per time stamp;
Slave Textual entries per split video file per time stamp; and
Slave Tags per split video file per time stamp.
5. The system as claimed in claim 1 wherein, said video file splitter being configured to split said video file into pre-defined constituents, said splitting being of a second-by-second splitting to obtain second-wise split constituent file, image-by-image splitting to obtain image-wise split constituent file, frame-by-frame splitting to obtain frame-wise split constituent file, or minute-by-minute splitting to obtain minute-wise split constituent file; thereby achieving splitting of a file into constituent split files of split video file.
6. The system as claimed in claim 1 wherein, said unified teleview snapshot platform comprising a video Application Program Integration layer (API) integrated with a third party video in a teleview module, of said system, in order to allow for playing said video file for a selected chanel, date, and time period selected by a user.
7. The system as claimed in claim 1 wherein, said unified teleview snapshot platform comprising a story ranking platform comprising:
a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a stories’ tag to provide first collated data;
a story ranking portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
8. The system as claimed in claim 1 wherein, said unified teleview snapshot platform comprising a anchor performance platform comprising:
a first collator configured to allow a user to collate said first insight marker, said second insight marker, and said third insight marker; each marker for said story marking platform being correlated with at least a characters’ tag to provide first collated data;
an anchor performance portal configured to allow a user to rank said first video file in correlation with said second video file to provide a ranked profile; and
a second collator configured to allow a user to collate said first collated data with said ranked profile to provide second collated data.
9. The system as claimed in claim 1 wherein, said system comprising:
a first tier (Tl) relating to application servers configured to receive at least a first video file on a first channel and at least a second video file on a second channel;
a second tier (T2) relating to database servers configured to store said received video files, of separate channels in separate database servers; and
a third tier (T3) relatingto a powerful Extract, Transform, Load (ETL) process configured to receives data from said database, data relating to viewership statistics, and data relating to news content for further processing.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN201921008126 | 2019-03-01 | ||
| IN201921008126 | 2019-03-01 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2020178846A1 true WO2020178846A1 (en) | 2020-09-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| PCT/IN2020/050061 WO2020178846A1 (en) | 2019-03-01 | 2020-01-21 | A system and method for unified viewership and analysis data on a visualisation platform. |
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| WO (1) | WO2020178846A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114466001A (en) * | 2021-12-27 | 2022-05-10 | 格美安(北京)信息技术有限公司 | File transmission method, storage medium and system based on file subpackage |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130051754A1 (en) * | 2011-08-23 | 2013-02-28 | Ash K. Gilpin | Video tagging system |
| US20150310894A1 (en) * | 2014-04-23 | 2015-10-29 | Daniel Stieglitz | Automated video logging methods and systems |
| US20190058917A1 (en) * | 2013-01-13 | 2019-02-21 | Comcast Cable Communications, Llc | Measuring video-program-viewing activity |
-
2020
- 2020-01-21 WO PCT/IN2020/050061 patent/WO2020178846A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130051754A1 (en) * | 2011-08-23 | 2013-02-28 | Ash K. Gilpin | Video tagging system |
| US20190058917A1 (en) * | 2013-01-13 | 2019-02-21 | Comcast Cable Communications, Llc | Measuring video-program-viewing activity |
| US20150310894A1 (en) * | 2014-04-23 | 2015-10-29 | Daniel Stieglitz | Automated video logging methods and systems |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114466001A (en) * | 2021-12-27 | 2022-05-10 | 格美安(北京)信息技术有限公司 | File transmission method, storage medium and system based on file subpackage |
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