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A method for analysing media content

A media content, deconvolution technology, applied in the field of computer vision and machine learning, to solve unknown problems

Active Publication Date: 2019-06-14
NOKIA TECHNOLOGLES OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Second, existing deep architectures mainly focus on modeling image data, while it is still unknown how to use deep neural networks to perform end-to-end modeling and prediction of video data for pixel labeling problems

Method used

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  • A method for analysing media content
  • A method for analysing media content
  • A method for analysing media content

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Embodiment Construction

[0042] figure 1 A computer graphics system suitable for use in image processing, eg, computer vision processes, according to an embodiment is shown. The general structure of a computer graphics system will be described in terms of the functional modules of the system. Several functions can be performed with a single physical device, for example, all computing programs can be performed in a single processor, if desired. according to figure 1 The data processing system of the exemplary apparatus comprises a main processing unit 100 , at least one memory 102 , a storage device 104 , an input device 106 , an output device 108 , and a graphics subsystem 110 , all connected to one another via a data bus 112 .

[0043]The main processing unit 100 is a conventional processing unit arranged to process data within the data processing system. The main processing unit 100 may include or be implemented as one or more processors or processor circuits. Memory 102, storage device 104, inp...

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PUM

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Abstract

The invention relates to a method, an apparatus and a computer program product for analyzing media content. The method comprises receiving media content; performing feature extraction of the media content at a plurality of convolution layers to produce a plurality of layer-specific feature maps; transmitting from the plurality of convolution layers a corresponding layer-specific feature map to a corresponding de-convolution layer of a plurality of de- convolution layers via a recurrent connection between the plurality of convolution layers and the plurality of de- convolution layers; and generating a reconstructed media content based on the plurality of feature maps.

Description

technical field [0001] This program deals with computer vision and machine learning, and more specifically, methods for analyzing media content. Background technique [0002] Many practical applications rely on the availability of semantic information about media content such as images, videos, etc. Semantic information is represented by metadata, which can express the type of scene, the occurrence of a specific behavior / action, the appearance of a specific object, etc. Such semantic information can be obtained by analyzing the media. [0003] The analysis of the media is a fundamental problem that has not yet been fully resolved. This is especially true when considering the extraction of high-level semantics such as object detection and recognition, scene classification (eg, motion type classification) behavior / action recognition, etc. [0004] Recently, the development of various neural network techniques has supported learning to recognize image content directly from r...

Claims

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Application Information

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IPC IPC(8): H04N21/234G06K9/00G06T7/246G06N3/04G06N3/08G06K9/46G06F18/213G06F18/24G06V10/40G06V10/70
CPCG06V20/40G06V20/10G06V10/454G06V20/70G06V10/82G06N3/044G06N3/045G06N3/04G06V20/46G06F18/2132
Inventor F·克里克里M·昂卡拉E·B·阿克苏倪星洋
Owner NOKIA TECHNOLOGLES OY