EP2026483A1 - Verbesserte Überwachung des Gebrauchs mobiler TV-Dienste - Google Patents

Verbesserte Überwachung des Gebrauchs mobiler TV-Dienste Download PDF

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Publication number
EP2026483A1
EP2026483A1 EP07290942A EP07290942A EP2026483A1 EP 2026483 A1 EP2026483 A1 EP 2026483A1 EP 07290942 A EP07290942 A EP 07290942A EP 07290942 A EP07290942 A EP 07290942A EP 2026483 A1 EP2026483 A1 EP 2026483A1
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usage information
usage
tags
local
anyone
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EP07290942A
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English (en)
French (fr)
Inventor
Louis c/o Gemplus S.A. Gregoire
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Gemplus SA
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Gemplus SCA
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Priority to EP07290942A priority Critical patent/EP2026483A1/de
Publication of EP2026483A1 publication Critical patent/EP2026483A1/de
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/29—Arrangements for monitoring broadcast services or broadcast-related services
    • H04H60/33—Arrangements for monitoring the users' behaviour or opinions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/68—Systems specially adapted for using specific information, e.g. geographical or meteorological information
    • H04H60/73—Systems specially adapted for using specific information, e.g. geographical or meteorological information using meta-information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/09—Arrangements for device control with a direct linkage to broadcast information or to broadcast space-time; Arrangements for control of broadcast-related services
    • H04H60/13—Arrangements for device control affected by the broadcast information

Definitions

  • the invention relates to audience monitoring schemes for broadcast services. It relates to TV Broadcast such as mobile TV, pay TV, TV rating, audience/usage monitoring/tracking/reporting.
  • the invention concerns TV and mobile TV cards, solutions and services.
  • One way for monitoring broadcast audience is to collect all the history of viewing of all users with a fine grain of time. This requires a huge amount of upstream bandwidth and processing power. Another way is to focus on a limited group of willing users, and ask their participation to capture their interest etc... through a dedicated device or software.
  • the purpose of the invention is to monitor behaviours of users of broadcast services without requiring a large bandwidth, nor active participation of the user, as the process may be fully automated.
  • Composite behaviours may be detected, where composite here refers to patterns of behavior that are a combination of several actions, possibly over time (sequence of actions).
  • the hereafter described embodiment consists in an audience monitoring operation, which is built onto three phases:
  • the campaign definition 10 consists in programming what the system will monitor during the campaign.
  • the audience monitoring may, for example, be aimed at quantifying an impact of a future program promotion on program viewing.
  • Another example of audience monitoring may be to quantify a number of users making phone calls during advertising spots.
  • Still another example may be to quantify the efficiency of broadcasting an active URL at a given period of the day onto actual use of such URL by the end-user.
  • the system monitors end-user behaviour based on detection of patterns at the receiving end.
  • the audience monitoring operator defines characteristics of the campaign. Usually, he defines what kind of patterns should be detected.
  • the system translates this into fixed filters and pattern descriptors for the duration of the campaign, and into a schedule of tags. Pattern descriptors and filters are sent to the receiver by some means before the monitoring starts. Tags are broadcast together with programs. The tag schedule covers the whole duration of the campaign.
  • Tags are metadata that can be used to characterize broadcast services. Tags are broadcast together and synchronously with services they relate to. Tags are then received by all receivers at the same time. Some tags are used to characterize global environment, i.e. environment applicable to all the end-users.
  • some service-related tags may be a program identifier, or a type of program, such as movie, news, advertising spot, series.
  • a service-related tag may also be an indication of a program duration, a phase of program, e.g. ten first minutes of the program or ten last minutes of the program.
  • Another example of service-related tag may also be the channel number of the program.
  • a global environment tag may be the date, or an indication of night-time / day-time, or a minute-of-the-day indication.
  • Tags may identify a content, such as a type of content, an advertisement slot, or a global environment (date and time of the day, wheather conditions).
  • Tags are broadcast together and synchronized with services they relate to (time binding). The planning and semantics of tags are up to the designer of the campaign.
  • Basic events comprise tag-events and local events.
  • a tag-event is a behavioural event performed by the end-user onto a service he is currently benefiting from, which program may be tagged and relating to which service the end-user performs the event.
  • the receiver can detect tag events because it receives all tags for the service that the user is accessing, even for a few seconds, Then for example, a tag event may be the start of a new program or a change of channel.
  • a local event is an event performed at the level of the end-user independent from the broadcast service, i.e. at the level of the receiver, which event may be initiated by the end-user or not.
  • a local event may be the start of a phone call, or the change of a cell in the mobile network.
  • Local parameters may also be taken into account during the audience monitoring campaign, such as the quality of reception, the type of receiver. Local parameters are parameters available on the receiver side. They are chosen by the campaign operator because they carry information that are relevent to the campaign.
  • patterns are detected which consist in the appearance of a specified set of tags, basic events comprising tag-events, and local parameters.
  • the detected pattern is a synchronous pattern, i.e. the timely concurrent availability of one or more tags in the selected incoming broadcast, and one or more basic events comprising tag-events, and local parameters.
  • a synchronous pattern is here a concurrent appearance of one or more concurrent tags with tag event or local events (e.g. phone call, switch off,...) or local parameters (handset type such as product reference of the terminal or technical characteristics of the terminal, geographical location). Any local parameter available on the receiving side may be involved in a synchronous event.
  • tag event or local events e.g. phone call, switch off, etc.
  • local parameters handset type such as product reference of the terminal or technical characteristics of the terminal, geographical location.
  • the local parameters are a poor reception condition and night-time
  • the tag is "desperate housewives" as a currently broadcasted program
  • the tag event is the selection by the end-user of such program.
  • the pattern may be a sequential pattern which is some way is a composite pattern of sequential occurrence over time of several synchronous patterns.
  • a sequential pattern refers In the present example to a particular sequence of synchronous patterns or events. Sequential patterns are described by tables describing state machines that the audience monitoring client can parse/execute. At the start of the campaign, the pattern tables are broadcast for a period of time and stored by all receiving devices for later execution. This step is represented under reference 20 on figure 1 .
  • An example of detection of sequential pattern may be the reception of a promotion spot for a program P, and later the watching of program A, i.e. synchronous pattern of tag "program A” and tag event "select program” onto program A or onto channel carrying program A.
  • Another example of detection of sequential pattern may be the reception of a first advertising spot, i.e. a tag identifying an advertising spot, and afterwards a channel change i.e. a tag event identifying a channel change, and then a channel change again back to the same first channel less than 10 minutes after the first channel had been left.
  • a first advertising spot i.e. a tag identifying an advertising spot
  • a channel change i.e. a tag event identifying a channel change
  • a pattern detection consists in detection of a combination of basic events with local parameters. When a combination matches a pattern at a given time, then a pattern is detected. Detecting a behavioural pattern then consists, as represented under reference 35, in combining new events, that may be filtered as described here-under, in real-time with the current state of the receiver, and comparing the result with a pre-defined pattern descriptor. If they match, then a behavioral pattern has been detected, and a counter can be incremented or a value stored.
  • Filters are used to raise the level of detection of events that are processed in order to ignore "noise", and keep only relevant events. Filters work like a threshold. The events they apply to are ignored by the receiver unless their inputs reach a certain level. As an example, a threshold onto a tag event or a local event may be applied, consisting in ignoring any channel choice that is changed again less than 15 seconds afterwards. With such a filter, such quick change of channel is considered as a non significant zapping behaviour. Then an basic event will be considered detected only once the user selltles for a particular channel more thant 15 seconds.
  • an audience monitoring operator wants to analyze the number of programs that a user views in an evening, the fact that a user changes channels many times every 10 seconds before deciding to stay on a particular channel may be considered as irrelevant to the study. What matters is the programs that were viewed for at least e.g. 30 minutes. Using filters allows the audience monitoring operator to optimize detection by selecting the right threshold.
  • the report step is preceded by an aggregation phase 38 which saves band with and allows to keep the memory footprint small.
  • the user equipment sends back the report to the back-end, where all reports are concatenated for global statistical analysis.
  • the report includes all recorded patterns history since the previous report.
  • the receiver then sends a final report
  • the present detailed example consists in a campaign manager wishing to estimate the impact of poor reception on average viewing time of a particular channel or type of program.
  • the campaign should allow the report of average viewing time in a given period following one or more occurrences of poor reception conditions, and allow a comparison of it with average viewing time for the same person before this occurrence (comparison done in the backend, based on reporting). This means measuring average viewing time before poor reception occurrence, detecting a period of poor reception and then measuring again average viewing time.
  • a particular tag is scheduled for broadcast together with the monitored programs, or permanently with the monitored channel.
  • a filter applies to local parameters which defines what is considered as poor reception conditions, e.g. bit error rate measured by the receiver, and what duration of poor reception conditions is considered meaningful, e.g. 50% of time over a period of 5mns.
  • This filter is loaded at step 29, before the campaing starts, at the receiver end at the start of the campaign.
  • the sequential pattern descriptor is programmed defining the following phases in the form of a state machine.
  • a detection is performed of poor reception period (local event).
  • a calculation is performed of viewing time over a period of time for the monitored channel. This is a loop of filtered patterns or tag events until the program time period elapses.
  • the pattern consists in the detection of tag event "select" with content tag "Channel N" and global tag "Minute of day" during the specified period of time.
  • An example of implementation with a USIM in the case of mobile Pay TV may be the following one.
  • Downstream (broadcast) channel carries tags synchronized with the broadcast of programs, from an audience monitoring server to the USIM.
  • the downstream channel is implemented using the SCP service protection data flows: the audience monitoring data are carried in the payload of STKMs. Audience monitoring data are added as an extension to the MIKEY in the STKM.
  • the extension is proprietary, not processed by the handset, but passed to the USIM through the Authenticate command. This is SCP-compliant behavior, as far as the user equipment is concerned.
  • the initial source of information is an ESG (Electronic Service Guide) streams.
  • the audience monitoring server can use either one or more ESG sources, as defined by OMA-BCAST, aggregated ESG streams from the broadcast head-end, or even a full ESG stream from an actual local DVB-H receiver adapted to deliver ESG streams on an Ethernet port.
  • An upstream (unicast) channel carries IRs (individual reports) from the USIM to the audience monitoring Manager.
  • the upstream channel uses usual SIM OTA bearers such as SMS or BIP over GPRS.
  • Upstream reporting is controlled by the OTA platform.
  • the report scheduling policy can be periodic or based on a USIM buffer status.
  • the terminal requests a key from the SIM every n seconds for decrypting the currently received program.
  • the SIM verifies acquired rights and delivers the key if OK.
  • the SIM interprets incoming key requests from the terminal as an indication of the program that the user is watching (as there are no requests for keys other services than the current viewed one). Thanks to the insertion of tags as payload of the message, the SIM can derive viewing basic events from the sequence of these requests. Filters can be applied to discard meaningless events.
  • the audience monitoring data broadcast inside the STKMs may include a time reference (Current Time).
  • a time reference Current Time
  • Another solution may be based on the use of standard time stamps carried by the STKMs.
  • filters and patterns are sent to all user equipments, which stores them and uses them for the duration of the campaign.
  • This set of parameters programs the detection process for user behavior patterns in each of the user equipments;
  • tags are broadcast together with each broadcast service relevant to the current monitoring campaign, according to the set schedule (e.g. derived from the schedule of the programs for each service).
  • the set schedule e.g. derived from the schedule of the programs for each service.
  • adequate tags are broadcast synchronously with programs, events, ads, or whatever is being monitored.
  • Local relevant environment parameters are collected and maintained up-to-date (e.g. type of handset, quality of reception, geographical location).
  • Local relevant events are tracked and relevant states stored and maintained up-to-date (e.g. ongoing call). Occurrences of relevant patterns are recorded: e.g. through increments of a dedicated counter.
  • Each receiver detects above-threshold patterns according to programmed pattern descriptors, and stores a record of it or e.g. increments a dedicated counter. From times to times the stored history is uploaded to a collection server. Data from all users are compiled into a data base for analysis.
  • Reports are sent to the backend from times to times.
  • “recevant” here means involved in the set of the patterns that have boon programmed at the beginning of the campaign.
  • programming the campaign translates to programming of Tags, basic events Filters, Synchronous and Sequential Patterns.
  • the campaign parameters can be modified by changing one or more of the three kinds of variables.
  • the processing at the receiving end is done in a secure token such as a smart card hosted in a receiving terminal such as mobile phone enabled for mobile TV.
  • a secure token such as a smart card hosted in a receiving terminal such as mobile phone enabled for mobile TV.
  • cards involved in conditional access of broadcast services e.g, pay TV, mobile TV.
  • tags and pattern updates are advantageously inserted in the ECM (entitlement control messages) that come synchronous with the program and carry the decryption key.
  • a dedicated server connected to the broadcast head-end provides timely tags and patterns to the ECM generator upon request. As the card gets all (non-redundant) ECMs for services that the user wants to watch, it can extract whatever audience monitoring data for processing, storage, and later reporting.
  • the solution requires very small downstream bandwidth, local processing power, local storage, and upstream bandwidth, while allowing monitoring of complex events that are not visible from the head-end and would require extensive history recording if they were to be extracted from a fine-grained historical records data-base.
  • the proposed scheme uses a limited amount of downstream broadcast bandwidth, processing power and memory in the end user equipment, and upstream unicast bandwidth in order to collect statistics of usage behavior on a large population of users.
  • the scheme allows detection and reporting of composite and sequential behavioral patterns. These patterns can relate broadcast as well as other services, and to global as well as local elements of the user environment.
  • the scheme presented here is based on a closed loop from and to a dedicated monitoring backend, and through each individual user equipment.
  • the downstream channel (from the backend to the user equipment) is broadcast.
  • the upstream, from the user equipment to the back-end is unicast.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
EP07290942A 2007-07-25 2007-07-25 Verbesserte Überwachung des Gebrauchs mobiler TV-Dienste Withdrawn EP2026483A1 (de)

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Application Number Priority Date Filing Date Title
EP07290942A EP2026483A1 (de) 2007-07-25 2007-07-25 Verbesserte Überwachung des Gebrauchs mobiler TV-Dienste

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EP07290942A EP2026483A1 (de) 2007-07-25 2007-07-25 Verbesserte Überwachung des Gebrauchs mobiler TV-Dienste

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2216920A1 (de) * 2009-02-10 2010-08-11 Gemalto SA Verfahren zum Datieren von Endbenutzerereignissen auf Telekommunikationsendgeräten
KR20110103273A (ko) * 2010-03-12 2011-09-20 삼성전자주식회사 컨텐츠 전송 시스템에서 ａｍ보고 방법 및 장치
WO2016108917A1 (en) * 2014-12-31 2016-07-07 Verimatrix, Inc. Systems and methods for using content protection signaling to collect audience measurement data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6192403B1 (en) * 1997-12-23 2001-02-20 At&T Corp Method and apparatus for adaptive monitor and support system
US20050235318A1 (en) * 1997-01-06 2005-10-20 Grauch Edward R Method and system for tracking network use
EP1657941A1 (de) * 2004-11-11 2006-05-17 Samsung Electronics Co., Ltd. Verfahren zur Steuerung einer untergeordneten Funktion eines Mobilgeräts mit Hilfe eines SIM Applikationen-Toolkits

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050235318A1 (en) * 1997-01-06 2005-10-20 Grauch Edward R Method and system for tracking network use
US6192403B1 (en) * 1997-12-23 2001-02-20 At&T Corp Method and apparatus for adaptive monitor and support system
EP1657941A1 (de) * 2004-11-11 2006-05-17 Samsung Electronics Co., Ltd. Verfahren zur Steuerung einer untergeordneten Funktion eines Mobilgeräts mit Hilfe eines SIM Applikationen-Toolkits

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2216920A1 (de) * 2009-02-10 2010-08-11 Gemalto SA Verfahren zum Datieren von Endbenutzerereignissen auf Telekommunikationsendgeräten
WO2010091916A1 (en) * 2009-02-10 2010-08-19 Gemalto Sa Method of dating end user's events on a telecom terminal equipments
KR20110103273A (ko) * 2010-03-12 2011-09-20 삼성전자주식회사 컨텐츠 전송 시스템에서 ａｍ보고 방법 및 장치
EP2545727A4 (de) * 2010-03-12 2016-01-27 Samsung Electronics Co Ltd Verfahren und vorrichtung zur meldung von publikumsmessungen in einem inhaltsübertragungssystem
KR101673598B1 (ko) * 2010-03-12 2016-11-22 삼성전자주식회사 컨텐츠 전송 시스템에서 ａｍ보고 방법 및 장치
WO2016108917A1 (en) * 2014-12-31 2016-07-07 Verimatrix, Inc. Systems and methods for using content protection signaling to collect audience measurement data
US20170347152A1 (en) * 2014-12-31 2017-11-30 Verimatrix, Inc. Systems and Methods for Using Content Protection Signaling to Collect Audience Measurement Data

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