Using ReCAP to track watermarks and on-screen overlays

Watermarks and overlays are part of everyday broadcast video. A channel logo in the corner, a sponsor mark beside a sports score, a programme classification symbol, or a breaking-news banner can identify where a clip came from and how it was presented. These visual elements are useful signals, yet they are often difficult to find consistently across hours of live and recorded footage.

ReCAP is designed to support real-time content analysis and processing for broadcast-quality media. Its approach brings together video understanding, metadata extraction, quality monitoring, face and logo recognition, and duplicate-content detection. For broadcasters, producers and media libraries, that creates a practical way to record when a watermark or overlay appears, where it appears, and how it changes during a programme.

Why overlays matter in broadcast workflows

A watermark may represent a broadcaster, streaming service, production company or rights holder. Some marks remain fixed for an entire programme, while others appear only during a promotion, an emergency announcement or a sponsored segment. An overlay can also carry editorial information, such as a location label, live indicator, election result, score, ticker or content warning.

The same footage may be delivered in several versions. A master recording might contain a clean feed, a channel bug and a version with commercial graphics. If those variations are not documented, an editor can select the wrong asset, a rights team can misread its origin, or an archive can store several apparently identical files without explaining the difference.

Automatic detection helps turn these visual differences into searchable metadata. Instead of relying on someone to watch a complete file and make notes, a system can log an event with a timestamp, an approximate screen region, a recognised logo and the period for which the graphic was visible. This record can then support review, editing, compliance and asset discovery.

How ReCAP can interpret visual marks

A useful analysis pipeline begins by sampling frames or processing the video stream as it arrives. The system looks for recurring shapes, colours, text patterns and logo features, then compares them with known visual references. A broadcaster’s watermark may be detected because its form remains stable, even when the programme behind it changes from a studio shot to outdoor footage.

Overlay detection is broader than logo recognition. It can identify graphic regions that appear suddenly, disappear after a set duration or move between positions. A lower-third caption, score panel or news ticker may be logged as an on-screen event even when the text itself changes. Optical character recognition can add a text layer where appropriate, while temporal analysis records how long the graphic remained present.

The project’s wider technical scope is described through the ReCAP project work, which brings together analysis functions relevant to media production and asset management. In practice, the value comes from combining signals: a detected channel logo, a face, a quality issue and a repeated segment can describe the same moment more accurately than any single detector.

Building a reliable watermark log

A basic event record should answer several operational questions. It should identify the media asset, the date and timecode, the type of mark, its screen position, its confidence score and the start and end of its appearance. A thumbnail or representative frame makes the result easier for an operator to verify. For live material, the record can initially be provisional and updated as the stream continues.

Position is particularly important. A fixed logo in the upper-right corner has a different meaning from a sponsor panel that occupies the lower third. Coordinates can be normalised against the frame dimensions so that records remain useful across standard-definition, high-definition and ultra-high-definition versions. The system should also account for safe areas, cropping and aspect-ratio conversion.

Confidence values help separate routine automation from editorial judgement. A clear, persistent watermark may be recorded automatically, while a translucent graphic over a busy background can be flagged for review. Logging the reason for a detection—shape match, text match, repeated appearance or comparison with a reference image—makes the process easier to audit and refine.

Handling live broadcasting and changing graphics

Live production creates a tighter operating environment than file-based archive work. A sports broadcast can introduce a score bug, a replay label, a betting sponsor or a breaking update within seconds. News channels may replace a standard ticker with a flood warning, transport alert or election result. Detection must therefore work quickly enough to provide useful metadata while accepting that some events will be corrected later.

Australian broadcasters face this variety across national and regional services. A live AFL match from Melbourne, a cyclone update from Townsville and a breakfast programme from Sydney may use very different graphics packages. The same network can also change its presentation for a regional bulletin, a digital stream or a special event. A flexible analyser should recognise known elements without assuming that every transmission follows one template.

The broadcast market also includes public media, commercial free-to-air networks, subscription services, community stations and online platforms. Content frequently moves between these environments through contribution feeds, post-production houses and media asset systems. A watermark log can preserve provenance when a file has been copied, transcoded or repackaged, especially if the visible brand is the clearest clue to its source.

Distinguishing overlays from programme content

Not every graphic in a frame should be treated as a watermark. A logo printed on a product, a sign in a street scene or a brand on a football jersey belongs to the underlying programme rather than the broadcast presentation. Confusing these categories can produce noisy metadata and make searches less useful.

Context and persistence help with the distinction. A mark that stays in the same corner across unrelated scenes is likely to be a channel watermark. A sponsor board that appears only during a stadium shot may be part of the scene. A lower-third that arrives with a presenter’s name is an editorial overlay, while a persistent streaming-service logo may identify the distribution layer.

Detection should therefore use temporal and spatial rules alongside visual similarity. A workflow can classify results as persistent watermark, transient graphic, text overlay, programme logo or uncertain mark. Human reviewers can then confirm unusual cases, and their decisions can improve future reference sets without requiring the whole archive to be inspected again.

Connecting detection with media asset management

The most useful results are those that connect directly to existing media operations. A production team might search for every clip carrying a particular sponsor logo. An archive manager could locate versions with a clean feed or exclude files containing an outdated channel bug. A compliance team might verify that required classification graphics were present during transmission.

For rights and brand management, time-coded records offer a defensible audit trail. They can show when a partner logo appeared, whether an overlay was present for the expected duration and which version of a programme was distributed. This is valuable when sponsorship agreements specify placement or when a broadcaster needs to prove that a warning, attribution or identification mark was displayed.

Duplicate-content analysis adds another layer. Two files may contain the same interview but differ because one has a station watermark and another has a promotional banner. If the system compares the underlying content as well as the visible graphics, it can identify related assets while preserving their presentation differences. That reduces clutter without erasing information about how each version was broadcast.

Managing accuracy, privacy and regional conditions

Automation should be measured against the consequences of an error. Missing a brief overlay may be inconvenient; falsely reporting a watermark can distort provenance or trigger unnecessary manual work. Teams should test detection with different compression levels, frame rates, lighting conditions, captions, fades and graphic animations. Results need to be reviewed across live clips, repeats and archived masters.

Privacy also matters when the broader analysis includes face recognition or identifiable individuals. A watermark log may be low-risk by itself, but it can be linked to people, locations and transmission times in a media database. Access controls, retention rules and clear purposes should govern who can view or export those records. These considerations are especially important for material collected from public events or community reporting.

Australian conditions add practical variables. Remote crews may send footage over constrained links, regional stations may work with smaller technical teams, and large archives may span decades of changing formats. Video moving between Sydney, Perth and remote production locations can arrive with different metadata conventions and aspect ratios. A scalable system should tolerate these variations while producing records that remain understandable to operators in each location.

Practical recommendations for deployment

A careful implementation can begin with a limited set of recurring marks and a representative sample of content. Teams can then compare automated detections with manually checked frames, adjust thresholds and expand the reference library. The aim is to make the output dependable enough for everyday use without hiding uncertainty.

A staged approach also makes financial and operational sense. A broadcaster might begin with post-production logging, where results can be checked before publication, then extend the same models to live monitoring. Once the workflow proves reliable, detected events can trigger alerts, populate archive fields or support automated version comparison.

What the record should preserve

A watermark or overlay is more than a graphic sitting on top of a frame. It can reveal the transmission source, the intended audience, the commercial context and the editorial state of a programme at a particular moment. Preserving that information helps teams understand how media travelled from production through distribution and into the archive.

ReCAP’s value lies in treating these signs as part of a wider picture of video content. Logo recognition, quality analysis, duplicate detection and metadata extraction can work together to make footage easier to find and govern. The result is a clearer record of what appeared on screen, when it appeared and which version of the media carried it.

The key point to remember is that automated overlay analysis should produce traceable, time-coded evidence that supports human decisions rather than replacing them.