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    • 4. 发明申请
    • Method and apparatus for adjusting the contrast of an image
    • 调整图像对比度的方法和装置
    • US20070172145A1
    • 2007-07-26
    • US11340913
    • 2006-01-26
    • Yucel AltunbasakTarik AriciToygar Akgun
    • Yucel AltunbasakTarik AriciToygar Akgun
    • G06K9/40
    • G06T5/40G06T5/009H04N5/147H04N5/20
    • A method and apparatus for adjusting the contrast of an image, in which each pixel in the image has an initial brightness level that is within a range of brightness levels between a minimum brightness level and a maximum brightness level. For each brightness level within the range, the number of pixels that have the same initial brightness level is counted. The pixels are divided into at least two types by identifying the or each set of pixels having initial brightness levels in which each of a plurality of adjacent ones of said brightness levels has more pixels than a threshold number. The pixels of the plurality of adjacent ones of said brightness levels are treated as a first type. The remaining pixels are treated as a second type. For the or each set of pixels of the first type, contrast enhancement is carried out separately on those pixels.
    • 一种用于调整图像的对比度的方法和装置,其中图像中的每个像素具有在最小亮度水平和最大亮度水平之间的亮度水平范围内的初始亮度水平。 对于该范围内的每个亮度级别,计算具有相同初始亮度级别的像素数。 像素通过识别具有初始亮度级别的像素或每组像素被划分为至少两种类型,其中多个相邻的所述亮度级别中的每一者具有比阈值多的像素。 多个相邻的所述亮度级中的像素被视为第一类型。 其余像素被视为第二类型。 对于第一类型的或每组像素,在这些像素上分别执行对比度增强。
    • 5. 发明授权
    • Video compression system using a dense motion vector field and a
triangular patch mesh overlay model
    • 视频压缩系统使用密集运动矢量场和三角形补片网格叠加模型
    • US5654771A
    • 1997-08-05
    • US447418
    • 1995-05-23
    • A. Murat TekalpYucel AltunbasakGozde Bozdagi
    • A. Murat TekalpYucel AltunbasakGozde Bozdagi
    • G06T9/00H04N7/26H04N7/32
    • H04N19/54
    • In a temporal sequence of digitized image frames of video signals, the spatial and temporal image gradients and the pixel-to-pixel motion vectors (dense motion vectors) are obtained between two consecutive image frames. A shape-adaptive triangular patch mesh model overlay is provided on the first image frame such that the location of node points of each patch is determined by the spatial image gradients of the first frame and the pixel-to-pixel motion vectors. A priority ranking of patches is established before determining the node point motion vectors. The node point motion vectors, representing the motion of each of the node points of the triangular mesh patches, are estimated by a linear least-squares solution to an affine transformation of the mesh overlay on the first frame into the second frame. Failure regions are identified and are revised in accordance with a data bit budget. All data are coded prior to transmission at a constant data bit rate by a sending unit to a receiving unit over a data link.
    • 在视频信号的数字化图像帧的时间序列中,在两个连续的图像帧之间获得空间和时间图像梯度以及像素到像素运动矢量(密集运动矢量)。 在第一图像帧上提供形状自适应三角形补片网格模型覆盖,使得每个贴片的节点的位置由第一帧和像素到像素运动矢量的空间图像梯度确定。 在确定节点点运动向量之前建立补丁的优先级排序。 表示三角形网格斑块中每个节点的运动的节点点运动矢量通过线性最小二乘解决方案估计为在第一帧上的网格覆盖的仿射变换到第二帧。 故障区域被识别并根据数据位预算进行修改。 在通过数据链路通过发送单元以接收单元以恒定数据比特率传输之前,所有数据被编码。
    • 8. 发明授权
    • Signal processing system
    • 信号处理系统
    • US07440502B2
    • 2008-10-21
    • US10706395
    • 2003-11-12
    • Yucel AltunbasakHyungjoon Kim
    • Yucel AltunbasakHyungjoon Kim
    • H04N7/12H04N11/02H04N11/04H04B1/66
    • H04N19/99H04N19/103H04N19/137H04N19/147H04N19/176
    • Methods and systems are disclosed for a video system. In a first exemplary embodiment, the video system comprises a video processing circuit that receives a picture and provides video compression by using an optimal macroblock mode of operation, the optimal macroblock mode of operation being identified by processing at least one macroblock of the picture, the processing being performed independent of other macroblocks contained in the picture. Additionally, the video processing circuit comprises a mode selection circuit that identifies the optimal macroblock mode of operation by using a rate-distortion model. The rate-distortion model incorporates an overall macroblock mode distortion D that is defined as the sum of DAC a distortion due to AC coefficients, and DDC a distortion due to DC coefficients.
    • 公开了用于视频系统的方法和系统。 在第一示例性实施例中,视频系统包括视频处理电路,其接收图像并通过使用最佳宏块操作模式提供视频压缩,通过处理图像的至少一个宏块来识别最佳宏块操作模式, 执行独立于包含在图片中的其他宏块的处理。 此外,视频处理电路包括通过使用速率 - 失真模型来识别最佳宏块操作模式的模式选择电路。 速率 - 失真模型包含总体宏块模式失真D,其被定义为由于AC系数导致的失真的总和,并且由于DC导致的失真导致D <! - 系数。
    • 10. 发明授权
    • Object-based parsing and indexing of compressed video streams
    • 压缩视频流的基于对象的解析和索引
    • US06389168B2
    • 2002-05-14
    • US09172399
    • 1998-10-13
    • Yucel AltunbasakHongJiang Zhang
    • Yucel AltunbasakHongJiang Zhang
    • G06K962
    • G06K9/00711G06F17/3079G06F17/30811G06F17/30858G06T9/005H04N5/147
    • A method and system for object-based video retrieval and indexing include a configuration detection processor for deriving quantitative attribute information for video frames in a compressed video stream. The quantitative attribute information includes object data for a video frame, including the number of objects and their orientation within the video frame and the size, shape, texture, and motion of each object. A configuration comparison processor compares object data from first and second frames to determine differences between first frame video objects and second frame video objects. The configuration comparison processor has a shot boundary detection mode in which it cooperates with a shot boundary detector to identify shot boundaries within a video sequence. In a key frame selection mode, the configuration comparison processor cooperates with a key frame selector to select key frames from the video sequence. A key instance selector communicates with the configuration comparison processor during a key instance selection mode to select key instances of video objects based on differences between first and second instances of video objects. The configuration comparison processor cooperates with a camera operation detector to identify camera operations such as zoom, tracking, and panning within the video sequence. A special effects detector cooperates with the configuration comparison processor to detect special effects video edits such as wipe, dissolve, and fade. The configuration comparison processor and a query match detector enable a user to configure object-based queries and to retrieve video sequences or video frames which include a query video object.
    • 一种用于基于对象的视频检索和索引的方法和系统包括用于在压缩视频流中导出视频帧的定量属性信息的配置检测处理器。 定量属性信息包括视频帧的对象数据,包括对象的数量及其在视频帧内的取向以及每个对象的大小,形状,纹理和运动。 配置比较处理器将来自第一和第二帧的对象数据进行比较,以确定第一帧视频对象和第二帧视频对象之间的差异。 配置比较处理器具有镜头边界检测模式,其中它与镜头边界检测器配合以识别视频序列内的镜头边界。 在关键帧选择模式中,配置比较处理器与关键帧选择器协作,从视频序列中选择关键帧。 密钥实例选择器在密钥实例选择模式期间与配置比较处理器通信,以基于视频对象的第一和第二实例之间的差异来选择视频对象的关键实例。 配置比较处理器与相机操作检测器协作以识别诸如视频序列内的缩放,跟踪和平移的相机操作。 特效检测器与配置比较处理器配合检测特效影像编辑,如擦拭,溶解和淡化。 配置比较处理器和查询匹配检测器使得用户能够配置基于对象的查询并且检索包括查询视频对象的视频序列或视频帧。