Targeted Content Insertion
Insertion of local content on regional basis
Targeted content insertion
ENENSYS’ Targeted Content Insertion Solution is compatible with any terrestrial network, including DVB-T, DVB-T2, ISDB-T and completes ENENSYS’ existing local content management solution for DTT environments.
It provides an elegant approach to generating additional revenue from existing output via the insertion of local content, such as adverts, news and weather forecasts, at the final stage of DTT delivery or at regional cable head-ends.
Applications
- Insertion of any local TV content : Ads, News, Weather,…
- Targeted TV insertion for DTT and cable networks
- Monetize your TV content and engage your audience
Highlights
Generate additional revenues
Local content provides an easy and effective way to engage viewers.
A personalised content offering is more relevant and engaging for viewers; Local news is a trusted source of information for many viewers.
STB or iDTV receiver agnostic
The content insertion made no modification of the Audio and Video content, ensuring compatibility with all DTV receivers and no service quality loss.
Standard-based solution
The solution is based on deterministic playlist (SCTE 118-3) insertion into a live stream based on SCTE 35 trigger.
Available for different TV plaform delivery
The solution is compatible with any terrestrial network, including DVB-T, DVB-T2, ISDB-T and is also efficient for Cable Networks.
System Diagram
Key points
- Insertion upon reception of cue messages SCTE-35
- Multiple PLP support in DVB-T2
- SFN capable for DTT operation
- Various files delivery support to store schedules (SCTE-118-3) and spots (MPEG-2, MPEG-4, HEVC)
- AsRun logs generation and delivery
Targeted Content Insertion
Use cases & news
Technical description
- Insertion upon reception of cue messages SCTE-35
- Multiple PLP support in DVB-T2
- SFN capable for DTT operation
- Various files delivery support to store schedules (SCTE-118-3) and spots (MPEG-2, MPEG-4, HEVC)
- AsRun logs generation and delivery
