METHODS AND SYSTEMS FOR PERFORMING TASKS ON MEDIA USING ATTRIBUTE SPECIFIC JOINT LEARNING

METHODS AND SYSTEMS FOR PERFORMING TASKS ON MEDIA USING ATTRIBUTE SPECIFIC JOINT LEARNING

A learning-based model is trained using a plurality of attributes of media. Depth estimation is performed using the learning-based model. The depth estimation supports performing a computer vision task on the media. Attributes used in the depth estimation include scene understanding, depth correctne...

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Bibliographische Detailangaben
Hauptverfasser: BONDADA, Prasanna Vishnu, J, Mahesh P, KUMAR, Manoj, SWAMI, Kunal, BAJPAI, Pankaj Kumar
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:A learning-based model is trained using a plurality of attributes of media. Depth estimation is performed using the learning-based model. The depth estimation supports performing a computer vision task on the media. Attributes used in the depth estimation include scene understanding, depth correctness, and processing of sharp edges and gaps. The media may be processed to perform media restoration or the media quality enhancement. A computer vision task may include semantic segmentation.