Qualcomm Incorporated

Haitam Ben Yahia

Amirhossein Habibian

Fatih Murat Porikli

Mihir Jain

Davide Abati

Amir Ghodrati

Disclosed are systems, apparatuses, processes, and computer-readable media for processing image data. For example, a process can include processing, for a first time step of a recurrent machine learning network, a first image of a plurality of images using a first subset of a group of distributed recurrent parameters to generate a first hidden state output associated with the first image. A process can include providing the first hidden state output as a recurrent state input to a second time step of the recurrent machine learning network. A process can include processing, for the second time step of the recurrent machine learning network, a second image of the plurality of images using the recurrent state input and a second subset of the group of distributed recurrent parameters to generate a second hidden state output associated with the second image.

Recurrent neural networks for high resolution image and video processing

Certain aspects of the present disclosure provide techniques and apparatus for processing video content using an artificial neural network. An example method generally includes receiving a video data stream including at least a first frame and a second frame. First features are extracted from the first frame using a teacher neural network. A difference between the first frame and the second frame is determined. Second features are extracted from at least the difference between the first frame and the second frame using a student neural network. A feature map for the second frame is generated based a summation of the first features and the second features. An inference is generated for at least the second frame of the video data stream based on the generated feature map for the second feature.

Video processing using delta distillation

Systems and techniques are provided for performing holistic video understanding. For example a process can include obtaining a first video and determining, using a machine learning model decision engine, a first machine learning model from a set of machine learning models to use for processing at least a portion of the first video. The first machine learning model can be determined based on one or more characteristics of at least the portion of the first video. The process can include processing at least the portion of the first video using the first machine learning model.

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Diemen, Netherlands

Haitam Ben Yahia