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    • 11. 发明申请
    • DETECTING RECURRING THEMES IN CONSUMER IMAGE COLLECTIONS
    • 检测消费者图像收集中的重要问题
    • US20130051670A1
    • 2013-02-28
    • US13221078
    • 2011-08-30
    • Madirakshi DasAlexander C. Loui
    • Madirakshi DasAlexander C. Loui
    • G06K9/46
    • G06K9/6212G06F17/30056G06F17/30265
    • A method of identifying groups of related digital images in a digital image collection, comprising: analyzing each of the digital images to generate associated feature descriptors related to image content or image capture conditions; storing the feature descriptors associated with the digital images in a metadata database; automatically analyzing the metadata database to identify a plurality of frequent itemsets, wherein each of the frequent itemsets is a co-occurring feature descriptor group that occurs in at least a predefined fraction of the digital images; determining a probability of occurrence for each the identified frequent itemsets; determining a quality score for each of the identified frequent itemsets responsive to the determined probability of occurrence; ranking the frequent itemsets based at least on the determined quality scores; and identifying one or more groups of related digital images corresponding to one or more of the top ranked frequent itemsets.
    • 一种在数字图像集合中识别相关数字图像组的方法,包括:分析每个数字图像以生成与图像内容或图像捕获条件相关的相关联的特征描述符; 将与数字图像相关联的特征描述符存储在元数据数据库中; 自动分析所述元数据数据库以识别多个频繁项集,其中所述频繁项集中的每一个是发生在所述数字图像的至少预定义分数中的共同出现的特征描述符组; 确定每个所识别的频繁项集的出现概率; 响应于所确定的发生概率,确定每个所识别的频繁项集的质量得分; 至少基于确定的质量得分对频繁项集进行排序; 以及识别与一个或多个最高排名的频繁项集相对应的一组或多组相关数字图像。
    • 12. 发明申请
    • VIDEO SUMMARIZATION USING AUDIO AND VISUAL CUES
    • 使用音频和视觉视频的视频总结
    • US20120281969A1
    • 2012-11-08
    • US13099391
    • 2011-05-03
    • Wei JiangAlexander C. LouiCourtenay Cotton
    • Wei JiangAlexander C. LouiCourtenay Cotton
    • G11B27/00
    • G11B27/034G11B27/11
    • A method for producing an audio-visual slideshow for a video sequence having an audio soundtrack and a corresponding video track including a time sequence of image frames, comprising: segmenting the audio soundtrack into a plurality of audio segments; subdividing the audio segments into a sequence of audio frames; determining a corresponding audio classification for each audio frame; automatically selecting a subset of the audio segments responsive to the audio classification for the corresponding audio frames; for each of the selected audio segments automatically analyzing the corresponding image frames to select one or more key image frames; merging the selected audio segments to form an audio summary; forming an audio-visual slideshow by combining the selected key frames with the audio summary, wherein the selected key frames are displayed synchronously with their corresponding audio segment; and storing the audio-visual slideshow in a processor-accessible storage memory.
    • 一种用于产生具有音频声轨和包括图像帧的时间序列的对应视频轨迹的视频序列的视听幻灯片放映方法,包括:将所述音频音轨分割为多个音频段; 将音频段细分成音频帧序列; 确定每个音频帧的相应音频分类; 响应于相应音频帧的音频分类自动选择音频段的子集; 对于每个所选择的音频片段,自动分析对应的图像帧以选择一个或多个关键图像帧; 合并所选音频片段以形成音频摘要; 通过将所选择的关键帧与音频摘要组合来形成视听幻灯片,其中所选择的关键帧与其对应的音频片段同步显示; 以及将视听幻灯片放映在处理器可访问的存储存储器中。
    • 13. 发明申请
    • IDENTIFYING HIGH SALIENCY REGIONS IN DIGITAL IMAGES
    • 识别数字图像中的高密度区域
    • US20120275701A1
    • 2012-11-01
    • US13094217
    • 2011-04-26
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • G06K9/34
    • G06K9/4671G06K9/34G06T7/11G06T7/162G06T2207/20072G06T2207/20164
    • A method for identifying high saliency regions in a digital image, comprising: segmenting the digital image into a plurality of segmented regions; determining a saliency value for each segmented region, merging neighboring segmented regions that share a common boundary in response to determining that one or more specified merging criteria are satisfied; and designating one or more of the segmented regions to be high saliency regions. The determination of the saliency value for a segmented region includes: determining a surround region including a set of image pixels surrounding the segmented region; analyzing the image pixels in the segmented region to determine one or more segmented region attributes; analyzing the image pixels in the surround region to determine one or more corresponding surround region attributes; determining a region saliency value responsive to differences between the one or more segmented region attributes and the corresponding surround region attributes.
    • 一种用于识别数字图像中的高显着区域的方法,包括:将所述数字图像分割成多个分割区域; 确定每个分段区域的显着值,以响应于确定满足一个或多个指定的合并标准来合并共享公共边界的相邻分割区域; 并且将一个或多个分割区域指定为高显着区域。 分割区域的显着性值的确定包括:确定围绕分割区域的一组图像像素的环绕区域; 分析分割区域中的图像像素以确定一个或多个分段区域属性; 分析环绕区域中的图像像素以确定一个或多个相应的环绕区域属性; 响应于所述一个或多个分段区域属性和对应的环绕区域属性之间的差异来确定区域显着值。
    • 14. 发明申请
    • IDENTIFYING PARTICULAR IMAGES FROM A COLLECTION
    • 从收藏中识别特定图像
    • US20120203764A1
    • 2012-08-09
    • US13021188
    • 2011-02-04
    • Mark D. WoodAlexander C. Loui
    • Mark D. WoodAlexander C. Loui
    • G06F17/30
    • G06F17/30867G06F17/30244G06F17/30247G06F17/30268G06F17/30525G06F17/3074G06F17/30781G06F17/30997
    • A method of identifying one or more particular images from an image collection, includes indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by one or more of the image descriptors; receiving a query from a user specifying at least one keyword for an image search; and using the keyword(s) to search a second collection of tagged images to identify co-occurrence keywords. The method further includes using the identified co-occurrence keywords to provide an expanded list of keywords; using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and displaying the representative images to the user.
    • 一种从图像集合识别一个或多个特定图像的方法,包括索引图像集合以为图像集合中的每个图像提供图像描述符,使得每个图像由一个或多个图像描述符描述; 从用户接收指定用于图像搜索的至少一个关键字的查询; 以及使用关键字搜索标记图像的第二集合以识别同现关键字。 该方法还包括使用所识别的同现关键词来提供扩展的关键字列表; 使用扩展的关键字列表来搜索图像描述符以识别满足关键词的一组候选图像; 根据至少一个图像描述符对候选图像集合进行分组,并从每个分组中选择一个或多个代表图像; 并向用户显示代表图像。
    • 15. 发明申请
    • ADAPTIVE MULTIMEDIA SEMANTIC CONCEPT CLASSIFIER
    • 自适应多媒体语义概念分类器
    • US20120109964A1
    • 2012-05-03
    • US12912820
    • 2010-10-27
    • Wei JiangAlexander C. Loui
    • Wei JiangAlexander C. Loui
    • G06F17/30
    • G06F17/30038
    • A method of classifying a set of semantic concepts on a second multimedia collection based upon adapting a set of semantic concept classifiers and updating concept affinity relations that were developed to classify the set of semantic concepts for a first multimedia collection. The method comprises providing the second multimedia collection from a different domain and a processor automatically classifying the semantic concepts from the second multimedia collection by adapting the semantic concept classifiers and updating the concept affinity relations to the second multimedia collection based upon the local smoothness over the concept affinity relations and the local smoothness over data affinity relations.
    • 一种基于适应一组语义概念分类器并且更新用于对第一多媒体集合的语义概念集合进行分类而开发的概念亲和度关系来对第二多媒体集合上的一组语义概念进行分类的方法。 该方法包括从不同的域提供第二多媒体集合,并且处理器通过基于概念上的局部平​​滑度来适应语义概念分类器并且将概念兴趣关系更新到第二多媒体集合来自动地对来自第二多媒体集合的语义概念进行分类 亲和关系和数据关联关系的局部平滑度。