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    • 1. 发明授权
    • Method for segmenting 3D objects from compressed videos
    • 从压缩视频分割3D对象的方法
    • US07142602B2
    • 2006-11-28
    • US10442417
    • 2003-05-21
    • Fatih M. PorikliHuifang SunAjay Divakaran
    • Fatih M. PorikliHuifang SunAjay Divakaran
    • H04B1/66
    • G06K9/34G06T7/11G06T7/187G06T2207/10016G06T2207/20048G06T2207/20101H04N19/48H04N19/87
    • A method segments a video into objects, without user assistance. An MPEG compressed video is converted to a structure called a pseudo spatial/temporal data using DCT coefficients and motion vectors. The compressed video is first parsed and the pseudo spatial/temporal data are formed. Seeds macro-blocks are identified using, e.g., the DCT coefficients and changes in the motion vector of macro-blocks.A video volume is “grown” around each seed macro-block using the DCT coefficients and motion distance criteria. Self-descriptors are assigned to the volume, and mutual descriptors are assigned to pairs of similar volumes. These descriptors capture motion and spatial information of the volumes. Similarity scores are determined for each possible pair-wise combination of volumes. The pair of volumes that gives the largest score is combined iteratively. In the combining stage, volumes are classified and represented in a multi-resolution coarse-to-fine hierarchy of video objects.
    • 一种方法是将视频分割成对象,而无需用户帮助。 使用DCT系数和运动矢量将MPEG压缩视频转换成称为伪空间/时间数据的结构。 首先解压缩视频并形成伪空间/时间数据。 使用例如DCT系数和宏块的运动矢量的变化来识别种子宏块。 使用DCT系数和运动距离标准,在每个种子宏块周围“生长”视频量。 自描述符被分配给卷,并且相互描述符被分配给相似卷的对。 这些描述符捕获卷的运动和空间信息。 确定每个可能的成对组合的相似度分数。 给出最大分数的一对卷被迭代地组合。 在组合阶段,卷被分类并以视频对象的多分辨率粗到精细层级来表示。
    • 2. 发明授权
    • Methods of feature extraction of video sequences
    • 视频序列特征提取方法
    • US06618507B1
    • 2003-09-09
    • US09236838
    • 1999-01-25
    • Ajay DivakaranHuifang SunHiroshi Ito
    • Ajay DivakaranHuifang SunHiroshi Ito
    • G06K946
    • G06K9/00744G06F17/30811
    • This invention relates to methods of feature extraction from MPEG-2 and MPEG-4 compressed video sequences. The spatio-temporal compression complexity of video sequences is evaluated for feature extraction by inspecting the compressed bitstream and the complexity is used as a descriptor of the spatio-temporal characteristics of the video sequence. The spatio-temporal compression complexity measure is used as a matching criterion and can also be used for absolute indexing. Feature extraction can be accomplished in conjunction with scene change detection techniques and the combination has reasonable accuracy and the advantage of high simplicity since it is based on entropy decoding of signals in compressed form and does not require computationally expensive inverse Discrete Cosine Transformation (DCT).
    • 本发明涉及从MPEG-2和MPEG-4压缩视频序列中提取特征的方法。 通过检查压缩比特流来评估视频序列的时空压缩复杂度,并将复杂度用作视频序列的时空特征的描述符。 时空压缩复杂度测量用作匹配标准,也可用于绝对索引。 特征提取可以结合场景变化检测技术来实现,并且组合具有合理的精度和高简单性的优点,因为它是基于压缩形式的信号的熵解码,并且不需要计算上昂贵的反离散余弦变换(DCT)。
    • 8. 发明授权
    • Compressed bit-stream segment identification and descriptor
    • 压缩位流段识别和描述符
    • US06778708B1
    • 2004-08-17
    • US09345452
    • 1999-07-01
    • Ajay DivakaranHuifang Sun
    • Ajay DivakaranHuifang Sun
    • G06K946
    • G06K9/00744G06F17/30811
    • A compressed bit-stream represents a corresponding sequence having intra-coded frames and inter-coded frames. The compressed bit-stream includes bits associated with each of the inter-coded frames representing a displacement from the associated inter-coded frame to a closest matching of the intra-coded frames. A magnitude of the displacement of a first of the inter-coded frames is determined based on the bits in the compressed bit-stream associated with that inter-coded frame. The inter-coded frame is then identified based on the determined displacement magnitude. The inter-coded frame includes macro-blocks. Each macro-block is associated with a respective portion of the inter-coded frame bits which represent the displacement from that macro-block to the closest matching intra-coded frame. The displacement magnitude is an average of the displacement magnitudes of all the macro-blocks associated with the inter-coded frame. The displacement magnitudes of those macro-blocks which are less than the average displacement magnitude are set to zero. The number of run lengths of the zero magnitude macro-blocks is determined and also used to identify the first inter-coded frame.
    • 压缩比特流表示具有帧内编码帧和帧间编码帧的对应序列。 压缩比特流包括与帧间编码帧中的每一个相关联的比特,该比特表示从相关联的帧间编码帧到帧内编码帧的最接近的匹配的位移。 基于与该帧间编码帧相关联的压缩比特流中的比特来确定帧间编码帧中的第一帧的位移的大小。 然后基于确定的位移幅度来识别帧间编码帧。 帧间编码帧包括宏块。 每个宏块与表示从该宏块到最接近的匹配帧内编码帧的位移的帧间编码帧比特的相应部分相关联。 位移幅度是与帧间编码帧相关联的所有宏块的位移幅度的平均值。 小于平均位移幅度的这些宏块的位移量设为零。 确定零幅度宏块的行程长度的数量,并且还用于识别第一帧间编码帧。