公开(公告)号：WO2015004495A1

公开(公告)日：2015-01-15

申请号：PCT/IB2013/001801

申请日：2013-07-09

Applicant: GOOGLE INC.

Inventor： ROGER, David ,  MASSIMINO, Pascal

IPC: H04L29/08 ,  G06F17/30

CPC classification number: H04L67/2823 ,  H04L65/4084 ,  H04L65/604 ,  H04L65/80 ,  H04L67/02 ,  H04N19/40

Abstract: The subject technology discloses configurations for receiving a response message from a server in which the response message includes image content in a first image format. The subject technology detects an unsupported image content type corresponding to the image content in the response message. Responsive to detecting the unsupported image content type, the image content is decoded. The decoded image content is transcoded to a second image format. The subject technology modifies an image content type header in the response message to indicate an image content type of the second image format. A content length header is set in the response message to a size of the transcoded image content. The subject technology transmits the response message to an application.

Abstract translation: 主题技术公开了用于从服务器接收响应消息的配置，其中响应消息包括第一图像格式的图像内容。 主题技术检测与响应消息中的图像内容相对应的不受支持的图像内容类型。 响应于检测不受支持的图像内容类型，图像内容被解码。 解码图像内容被转码为第二图像格式。 主题技术修改响应消息中的图像内容类型头部以指示第二图像格式的图像内容类型。 在响应消息中将内容长度标题设置为转码图像内容的大小。 主题技术将响应消息发送到应用程序。

公开(公告)号：WO2016025161A1

公开(公告)日：2016-02-18

申请号：PCT/US2015/042323

申请日：2015-07-27

Applicant: GOOGLE INC.

Inventor： RUSSELL, Andrew Ian ,  MASSIMINO, Pascal

IPC: H04N9/64 ,  H04N19/59 ,  H04N19/85

CPC classification number: H04N1/409 ,  H04N1/6027 ,  H04N9/646 ,  H04N19/154 ,  H04N19/59 ,  H04N19/895

Abstract: A method (400) includes obtaining (410), at one or more computing devices, an input image; determining (420) a first value of a quality metric for the input image; generating (430) a first chroma subsampled representation of the input image; and generating (440) a reconstructed image based on the chroma subsampled representation. The method also includes determining a second value of the quality metric for the reconstructed image; determining an error value based on the first value of the quality metric and the second value of the quality metric; and generating a second chroma subsampled representation of the input image based in part on the error value.

Abstract translation: 方法（400）包括在一个或多个计算设备处获取（410）输入图像; 确定（420）所述输入图像的质量度量的第一值; 产生（430）所述输入图像的第一色度子采样表示; 以及基于所述色度子采样表示来生成（440）重构图像。 该方法还包括确定重建图像的质量度量的第二值; 基于质量度量的第一值和质量度量的第二值确定误差值; 以及部分地基于所述误差值来生成所述输入图像的第二色度子采样表示。

公开(公告)号：EP2289246A2

公开(公告)日：2011-03-02

申请号：EP09746931.6

申请日：2009-05-12

Applicant: Google Inc.

Inventor： MASSIMINO, Pascal

IPC: H04N7/26 ,  G06T5/10

CPC classification number: H04N19/40 ,  H04N19/124 ,  H04N19/154 ,  H04N19/17 ,  H04N19/176 ,  H04N19/48 ,  H04N19/80

Abstract: Embodiments of the present invention relate generally to visual degrading of images. Systems and methods for fast visual degrading of an entire image or localized region(s) within the image are provided. In an embodiment, a system for fast localized visual degrading of images includes a map creator and a coefficient list modifier. The map creator generates a map. The map may identify one or more degradation regions within an image. The coefficient list modifier reduces coefficient data in at least one block associated with a degradation region identified in the map. In another embodiment, a computer-implemented method for fast localized visual degrading of images is provided. The method includes generating a map that identifies one or more degradation regions within an image, and reducing coefficient data in at least one block associated with a degradation region identified in the map.

公开(公告)号：WO2012050832A1

公开(公告)日：2012-04-19

申请号：PCT/US2011/053460

申请日：2011-09-27

Applicant: GOOGLE INC. ,  MASSIMINO, Pascal

Inventor： MASSIMINO, Pascal

IPC: H04N21/2343 ,  H04N21/81

CPC classification number: H04N21/234336 ,  H04N21/4782 ,  H04N21/6379 ,  H04N21/6581 ,  H04N21/8153

Abstract: Embodiments include systems, methods and computer program products that use video compression techniques to recompress image data that has been compressed using static image compression. In non-limiting examples, this can include using modern video compression techniques when browsing web pages referencing compressed static image data to obtain increased efficiency in transmission and/or rendering of the static image data on a browser at a client device. In an embodiment, a method includes requesting image content associated with a received content identifier and an associated compression data signature, receiving, the compressed video content that is a compression of the requested image content and has an associated video compression data signature, wherein the requested image content is stored as compressed static image content prior to the video compression, and decoding the received compressed video content based on the video image compression data signature to obtain static image data.

Abstract translation: 实施例包括使用视频压缩技术来重新压缩已经使用静态图像压缩被压缩的图像数据的系统，方法和计算机程序产品。 在非限制性示例中，这可以包括当浏览引用压缩静态图像数据的网页时使用现代视频压缩技术，以在客户端设备上的浏览器上获得提高的静态图像数据的传输效率和/或呈现。 在一个实施例中，一种方法包括请求与所接收的内容标识符和相关联的压缩数据签名相关联的图像内容，接收作为所请求的图像内容的压缩并具有相关联的视频压缩数据签名的压缩视频内容，其中所请求的 图像内容在视频压缩之前被存储为压缩静态图像内容，并且基于视频图像压缩数据签名对接收到的压缩视频内容进行解码以获得静态图像数据。

公开(公告)号：WO2009139842A3

公开(公告)日：2009-11-19

申请号：PCT/US2009/002914

申请日：2009-05-12

Applicant: GOOGLE INC. ,  MASSIMINO, Pascal

Inventor： MASSIMINO, Pascal

IPC: H04N7/26 ,  G06T5/10

Abstract: Embodiments of the present invention relate generally to visual degrading of images. Systems and methods for fast visual degrading of an entire image or localized region(s) within the image are provided. In an embodiment, a system for fast localized visual degrading of images includes a map creator and a coefficient list modifier. The map creator generates a map. The map may identify one or more degradation regions within an image. The coefficient list modifier reduces coefficient data in at least one block associated with a degradation region identified in the map. In another embodiment, a computer-implemented method for fast localized visual degrading of images is provided. The method includes generating a map that identifies one or more degradation regions within an image, and reducing coefficient data in at least one block associated with a degradation region identified in the map.

公开(公告)号：EP3180910A1

公开(公告)日：2017-06-21

申请号：EP15751181.7

申请日：2015-07-27

Applicant: Google Inc.

Inventor： RUSSELL, Andrew Ian ,  MASSIMINO, Pascal

IPC: H04N9/64 ,  H04N19/59 ,  H04N19/85

CPC classification number: H04N1/409 ,  H04N1/6027 ,  H04N9/646 ,  H04N19/154 ,  H04N19/59 ,  H04N19/895

Abstract: A method (400) includes obtaining (410), at one or more computing devices, an input image; determining (420) a first value of a quality metric for the input image; generating (430) a first chroma subsampled representation of the input image; and generating (440) a reconstructed image based on the chroma subsampled representation. The method also includes determining a second value of the quality metric for the reconstructed image; determining an error value based on the first value of the quality metric and the second value of the quality metric; and generating a second chroma subsampled representation of the input image based in part on the error value.

Abstract translation: 一种方法包括：在一个或多个计算设备处获得输入图像; 确定输入图像的质量度量的第一值; 生成输入图像的第一色度子采样表示; 以及基于色度子采样表示生成重构图像。 该方法还包括确定重建图像的质量度量的第二值; 基于质量度量的第一值和质量度量的第二值来确定误差值; 以及部分基于所述误差值来生成所述输入图像的第二色度子采样表示。