ADOBE had 72 patents in digitalization during Q2 2024. Adobe Inc’s patents filed in Q2 2024 include technologies for transcript aggregation, generating 360-degree views of objects from online images, predicting and recommending item bundles in conversations, generating gesture reenactment videos from audio sequences, and automatically generating graphic design documents based on input text and images. These technologies leverage machine learning and trained networks to enhance audiovisual experiences and streamline design processes. GlobalData’s report on ADOBE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ADOBE had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Transcript aggregaton for non-linear editors (Patent ID: US20240202239A1)
The patent filed by Adobe Inc. describes systems, methods, and computer storage media for transcript aggregation. It involves generating an audio mix processing map to represent the flow of audio signals in a multi-track sequence, creating an aggregated audio track to show which audio sources contribute to the final mix at specific time ranges, and transforming this aggregated audio track into an aggregated transcript track by associating transcript segments with corresponding time ranges.
The patent further details various claims related to the storage media storing computer instructions for generating the audio mix processing map, identifying contributing audio sources, and transforming the aggregated audio track into an aggregated transcript track. It includes methods for detecting edits in audio tracks, evaluating metadata to determine audio source contributions, applying contribution tracking rules, transcribing audio sources, and excluding portions of transcripts based on signal levels. Additionally, the patent covers the presentation of transcript segments in an editor interface and executing keyword searches against the aggregated transcript track. Overall, the patent aims to streamline the process of aggregating and associating transcripts with audio sources in a multi-track sequence efficiently.
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