Back to results
US 10,319,115 B2Granted
Image compression device
AssigneeElectronics and Telecommunications Research Institute
InventorsSeong Mo Park, Sung Eun Kim, Ju-Yeob Kim, Jin Kyu Kim, Kwang Il Oh, Joo Hyun Lee
Life of this patent
Estimating the term…
Abstract
Provided is an image compression device including an object extracting unit configured to perform convolution neural network (CNN) training and identify an object from an image received externally, a parameter adjusting unit configured to adjust a quantization parameter of a region in which the identified object is included in the image on the basis of the identified object, and an image compression unit configured to compress the image on the basis of the adjusted quantization parameter.
Claims9
An image compression device comprising:
- an object extracting circuit configured to perform convolution neural network (CNN) training to identify an object from an image received externally;
- a parameter adjusting circuit configured to adjust a quantization parameter of a region in which the identified object is included in the image on the basis of the identified object;
- and
- an image compression circuit configured to compress the image on the basis of the adjusted quantization parameter,
- wherein the object extracting circuit sets modified-regions in the received image and performs the CNN training on a portion of the set modified-regions to identify a type of an object included in the portion of the set modified-regions,
- the object extracting circuit classifies each of the modified-regions into one of a background region and an object region on a basis of pixel change amounts of the respective set modified-regions, and
- wherein the object extracting circuit classifies the modified-region into the background region, when the pixel change amount is smaller than a reference value in each of the set modified-regions and classifies the modified-region into the object region when the pixel change amount is equal to or greater than the reference value.
4 more elements
An image compression device comprising:
- an object extracting circuit configured to perform convolution neural network (CNN) training to identify an object from an image received externally;
- a parameter adjusting circuit configured to adjust a quantization parameter of a region in which the identified object is included in the image on the basis of the identified object;
- and
- an image compression circuit configured to compress the image on the basis of the adjusted quantization parameter,
- wherein the object extracting circuit sets modified-regions in the received image and performs the CNN training on a portion of the set modified-regions to identify a type of an object included in the portion of the set modified-regions,
- wherein the object extracting circuit classifies each of the modified-regions into one of a background region and an object region on a basis of pixel change amounts of the respective set modified-regions, and
- wherein the parameter adjusting circuit sets a quantization parameter for the background area to a first value, sets a quantization parameter for the object region to a second value smaller than the first value when the type of the object included in the object region is a text, and sets the quantization parameter for the object region to a third value smaller than the second value when the type of the object included in the object region is not the text.
4 more elements
An image compression device comprising:
- an object extracting circuit configured to set modified-regions in an image received externally, classify each of the set modified-regions into a background region or an object region based on pixel change amount of the each of the set modified-regions, and perform convolution neural network (CNN) training on the object region among of the set modified-regions to identify a type of an object included in the object region;
- a parameter adjusting circuit configured to adjust a quantization parameter of each of the set modified regions based on whether each of the set modified regions is classified into the background region or the object region, and the type of the object identified by the CNN training;
- and
- an image compression circuit configured to compress the received image on the basis of the adjusted quantization parameter,
- wherein pixel change amount of the object region is equal to or greater than a reference value, pixel change amount of the background region is smaller than the reference value.
2 more elements
Dependencies are inferred from the claim text.