Source: http://www.google.com/patents/US7199819?dq=6,460,050
Timestamp: 2014-10-25 00:48:46
Document Index: 758666631

Matched Legal Cases: ['arts 2', 'Application No. 2002', 'art 11', 'art 14', 'art 12', 'art 13']

Patent US7199819 - Device for automatically detecting picture degradation - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsFeature quantities of a transmitted picture and a received picture are extracted from a first and second block-by-block feature quantity extraction parts which are provided on a transmitting and receiving sides, respectively. The extracted feature quantities are transmitted to a block degradation calculation...http://www.google.com/patents/US7199819?utm_source=gb-gplus-sharePatent US7199819 - Device for automatically detecting picture degradationAdvanced Patent SearchPublication numberUS7199819 B2Publication typeGrantApplication numberUS 10/781,632Publication dateApr 3, 2007Filing dateFeb 20, 2004Priority dateFeb 26, 2003Fee statusPaidAlso published asUS20040183950Publication number10781632, 781632, US 7199819 B2, US 7199819B2, US-B2-7199819, US7199819 B2, US7199819B2InventorsOsamu Sugimoto, Ryoichi Kawada, Atsushi Koike, Masahiro WadaOriginal AssigneeKddi CorporationExport CitationBiBTeX, EndNote, RefManPatent Citations (8), Referenced by (7), Classifications (6), Legal Events (2) External Links: USPTO, USPTO Assignment, EspacenetDevice for automatically detecting picture degradationUS 7199819 B2Abstract Feature quantities of a transmitted picture and a received picture are extracted from a first and second block-by-block feature quantity extraction parts which are provided on a transmitting and receiving sides, respectively. The extracted feature quantities are transmitted to a block degradation calculation part which compares the transmitted feature quantities and finds the degree of picture quality degradation for each block. Next, a median filter replaces the degree of picture quality degradation for the each block with a median of the degrees of picture quality degradation among the neighboring blocks of the each block. Then, a degraded block detection part compares the median with a predetermined threshold and detects a degraded block. Finally, a degraded region detection part removes an isolated degraded block and detects a degraded region. According to the invention, local picture quality degradation in a frame caused by transmission failure can be automatically detected with high accuracy.
SUMMARY OF THE INVENTION An object of the invention is to provide a device for automatically detecting picture degradation that can detect local degradation in a frame caused by transmission failure with high accuracy.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing the schematic construction of one embodiment of the invention;
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The invention will be hereinafter described in detail with reference to the drawings. The preferred embodiment of the invention will be described with reference to FIG. 1. FIG. 1 is a block diagram showing the schematic construction of the invention.
Each of the first and second block-by-block feature quantity extraction parts 2, 3 divides the frame of a transmitted picture or a received picture into small regions or pixel blocks and extracts a picture feature quantity from this pixel block. The pixel block to be used is 8 pixels�8 pixels or 16 pixels�16 pixels. The extracting of the picture feature quantity is preferably made by a coefficient extraction method based on spread spectrum and orthogonal transformation disclosed in Japanese Patent Application No. 2002-55333 applied by the present applicant but is not limited to this coefficient extraction method. However, the invention can be applied not only to the feature quantity extracted by this method but also to a feature quantity of the type in which the noise power (MSE) of the block can be estimated by comparing the feature quantity between the transmitting side and the receiving side.
First, an input picture is inputted to a block division part 11 and is divided into blocks. Next, a PN sequences multiplication part 14 performs spread spectrum to a signal in the blocks, that is, multiplies the blocks by a PN sequences. An arbitrary series of the type in which +1 and −1 occur at random such as a series of (+1, +1, −1, +1, −1, −1, +1, −1, +1, . . . ) can be used as the PN sequences. Then, an orthogonal transformation part 12 performs a Walsh Hadamard transformation (WHT) to the product. In a case of a picture G of a block size of 8�8, for example, a value α obtained by the WHT is shown by the following equation.
U = [ 1 1 1 1 1 1 1 1 1 1 1 1 - 1 - 1 - 1 - 1 1 1 - 1 - 1 - 1 - 1 1 1 1 1 - 1 - 1 1 1 - 1 - 1 1 - 1 - 1 1 1 - 1 - 1 1 1 - 1 - 1 1 - 1 1 1 - 1 1 - 1 1 - 1 - 1 1 - 1 1 1 - 1 1 - 1 1 - 1 1 - 1 ] ⁢ ` [ Numerical ⁢ ⁢ equation ⁢ ⁢ 1 ] By the calculation of the above matrix, α becomes 8�8 coefficients for one block. A coefficient extraction part 13 extracts any one of the coefficients and outputs them as picture feature quantities RA[i], RB[i] to a monitoring chamber to be described below, where [i] designates the index of block in the transmitted and received picture frames and RA and RB designate picture feature quantities at the points A and B in FIG. 1, respectively.
D[i]=(R A [i]−R B [i])2 The degree of degradation of each block D[i] is thought to estimate the average power (MSE) in the block of the differential signal between the transmitted picture and the received picture. Therefore, in a case where the transmission failure does not occur, the degree of degradation D [i] represents the degradation of the received picture caused by coding noise, while in a case where the transmission failure occurs, it represents the degree of degradation of the picture caused by the error of a compressed bit stream.
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