Patents by Inventor Wen-Yin Liu
Wen-Yin Liu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11955553Abstract: Embodiments disclosed herein relate to using an implantation process and a melting anneal process performed on a nanosecond scale to achieve a high surface concentration (surface pile up) dopant profile and a retrograde dopant profile simultaneously. In an embodiment, a method includes forming a source/drain structure in an active area on a substrate, the source/drain structure including a first region comprising germanium, implanting a first dopant into the first region of the source/drain structure to form an amorphous region in at least the first region of the source/drain structure, implanting a second dopant into the amorphous region containing the first dopant, and heating the source/drain structure to liquidize and convert at least the amorphous region into a crystalline region, the crystalline region containing the first dopant and the second dopant.Type: GrantFiled: February 24, 2023Date of Patent: April 9, 2024Assignee: Taiwan Semiconductor Manufacturing Company, Ltd.Inventors: Su-Hao Liu, Kuo-Ju Chen, Wen-Yen Chen, Ying-Lang Wang, Liang-Yin Chen, Li-Ting Wang, Huicheng Chang
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Publication number: 20240089333Abstract: A method that includes collecting, by a computer, social network posts by social network friends of a user containing images. The method further includes identifying, by the computer, images within the social network posts containing the user through facial image recognition based on an image of the user in a user social network profile and determining, by the computer, information from the identified images containing the user within the social network posts for inclusion in the user social network profile. The method may further include updating, by the computer, the profile information of the user social network profile to include the information from the identified images containing the user within the social network posts.Type: ApplicationFiled: November 21, 2023Publication date: March 14, 2024Inventors: Wen Wang, Yan Bin Fu, Shuang Yin Liu, Yi Wu, Qing Jun Gao
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Publication number: 20240088225Abstract: A method includes forming a gate stack on a first portion of a semiconductor substrate, removing a second portion of the semiconductor substrate on a side of the gate stack to form a recess, growing a semiconductor region starting from the recess, implanting the semiconductor region with an impurity, and performing a melt anneal on the semiconductor region. At least a portion of the semiconductor region is molten during the melt anneal.Type: ApplicationFiled: November 14, 2023Publication date: March 14, 2024Inventors: Su-Hao Liu, Wen-Yen Chen, Li-Heng Chen, Li-Ting Wang, Liang-Yin Chen, Huicheng Chang, Yee-Chia Yeo, Ying-Lang Wang
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Patent number: 7627556Abstract: A multimedia object retrieval and annotation system integrates an annotation process with object retrieval and relevance feedback processes. The annotation process annotates multimedia objects, such as digital images, with semantically relevant keywords. The annotation process is performed in background, hidden from the user, as the user conducts normal searches. The annotation process is “semi-automatic” in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on the retrieved objects. The user identifies objects as either relevant or irrelevant to the query keywords and based on this feedback, the system automatically annotates the objects with semantically relevant keywords and/or updates associations between the keywords and objects. As the retrieval-feedback-annotation cycle is repeated, the annotation coverage and accuracy of future searches continues to improve.Type: GrantFiled: July 28, 2004Date of Patent: December 1, 2009Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang
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Patent number: 7529732Abstract: An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries.Type: GrantFiled: July 28, 2004Date of Patent: May 5, 2009Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Ye Lu
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Patent number: 7499916Abstract: An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries.Type: GrantFiled: October 20, 2004Date of Patent: March 3, 2009Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Ye Lu
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Patent number: 7493312Abstract: Systems and methods for a media agent are described. In one aspect, user access of a media content source is detected. Responsive to this detection, a piece of media content and associated text is collected from the media content source. Semantic text features are extracted from the associated text and the piece of media content. The semantic text features are indexed into a media database.Type: GrantFiled: May 24, 2004Date of Patent: February 17, 2009Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Zheng Chen
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Patent number: 7349895Abstract: A multimedia object retrieval and annotation system integrates an annotation process with object retrieval and relevance feedback processes. The annotation process annotates multimedia objects, such as digital images, with semantically relevant keywords. The annotation process is performed in background, hidden from the user, as the user conducts normal searches. The annotation process is “semi-automatic” in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on the retrieved objects. The user identifies objects as either relevant or irrelevant to the query keywords and based on this feedback, the system automatically annotates the objects with semantically relevant keywords and/or updates associations between the keywords and objects. As the retrieval-feedback-annotation cycle is repeated, the annotation coverage and accuracy of future searches continues to improve.Type: GrantFiled: October 20, 2004Date of Patent: March 25, 2008Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang
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Patent number: 7283992Abstract: The described arrangements and procedures provide an intelligent media agent to autonomously collect semantic multimedia data text descriptions on behalf of a user whenever and wherever the user accesses media content. The media agent analyzes these semantic multimedia data text descriptions in view of user behavior patterns and actions to assist the user in identifying multimedia content and related information that is appropriate to the context within which the user is operating or working. For instance, the media agent detects insertion of text and analyzes the inserted text. Based on the analysis, the agent predicts whether a user intends to access media content. If so, the agent retrieves information corresponding to media content from a media content source and presents the information to a user as a suggestion.Type: GrantFiled: November 30, 2001Date of Patent: October 16, 2007Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Zheng Chen
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Patent number: 7231381Abstract: Text features corresponding to pieces of media content (e.g., images, audio, multimedia content, etc.) are extracted from media content sources. One or more text features (e.g., one or more words) for a piece of media content are extracted from text associated with the piece of media content and text feature vectors generated therefrom and used during subsequent searching. Additional low-level feature vectors may also be extracted from the piece of media content and used during the subsequent searching. Relevance feedback can also be received from a user(s) identifying the relevance of pieces of media content rendered to the user in response to his or her search request. The relevance feedback is logged and can be used in determining how to respond to subsequent search requests, such as by modifying feature vectors (e.g., text feature vectors) corresponding to the pieces of media content for which relevance feedback is received.Type: GrantFiled: March 13, 2001Date of Patent: June 12, 2007Assignee: Microsoft CorporationInventors: Mingjing Li, Hong-Jiang Zhang, Wen-Yin Liu, Zhen Chen
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Patent number: 7099860Abstract: An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries.Type: GrantFiled: October 30, 2000Date of Patent: August 29, 2006Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Ye Lu
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Patent number: 6970860Abstract: A multimedia object retrieval and annotation system integrates an annotation process with object retrieval and relevance feedback processes. The annotation process annotates multimedia objects, such as digital images, with semantically relevant keywords. The annotation process is performed in background, hidden from the user, as the user conducts normal searches. The annotation process is “semi-automatic” in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on the retrieved objects. The user identifies objects as either relevant or irrelevant to the query keywords and based on this feedback, the system automatically annotates the objects with semantically relevant keywords and/or updates associations between the keywords and objects. As the retrieval-feedback-annotation cycle is repeated, the annotation coverage and accuracy of future searches continues to improve.Type: GrantFiled: October 30, 2000Date of Patent: November 29, 2005Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang
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Publication number: 20050114325Abstract: A multimedia object retrieval and annotation system integrates an annotation process with object retrieval and relevance feedback processes. The annotation process annotates multimedia objects, such as digital images, with semantically relevant keywords. The annotation process is performed in background, hidden from the user, as the user conducts normal searches. The annotation process is “semi-automatic” in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on the retrieved objects. The user identifies objects as either relevant or irrelevant to the query keywords and based on this feedback, the system automatically annotates the objects with semantically relevant keywords and/or updates associations between the keywords and objects. As the retrieval-feedback-annotation cycle is repeated, the annotation coverage and accuracy of future searches continues to improve.Type: ApplicationFiled: October 20, 2004Publication date: May 26, 2005Applicant: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang
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Publication number: 20050055344Abstract: An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries.Type: ApplicationFiled: October 20, 2004Publication date: March 10, 2005Applicant: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Ye Lu
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Publication number: 20050010553Abstract: A multimedia object retrieval and annotation system integrates an annotation process with object retrieval and relevance feedback processes. The annotation process annotates multimedia objects, such as digital images, with semantically relevant keywords. The annotation process is performed in background, hidden from the user, as the user conducts normal searches. The annotation process is “semi-automatic” in that it utilizes both keyword-based information retrieval and content-based image retrieval techniques to automatically search for multimedia objects, and then encourages users to provide feedback on the retrieved objects. The user identifies objects as either relevant or irrelevant to the query keywords and based on this feedback, the system automatically annotates the objects with semantically relevant keywords and/or updates associations between the keywords and objects. As the retrieval-feedback-annotation cycle is repeated, the annotation coverage and accuracy of future searches continues to improve.Type: ApplicationFiled: July 28, 2004Publication date: January 13, 2005Applicant: Microsoft CorporationInventor: Wen-Yin Liu
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Publication number: 20040267740Abstract: An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries.Type: ApplicationFiled: July 28, 2004Publication date: December 30, 2004Applicant: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Ye Lu
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Publication number: 20040220925Abstract: Systems and methods for a media agent are described. In one aspect, user access of a media content source is detected. Responsive to this detection, a piece of media content and associated text is collected from the media content source. Semantic text features are extracted from the associated text and the piece of media content. The semantic text features are indexed into a media database.Type: ApplicationFiled: May 24, 2004Publication date: November 4, 2004Applicant: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Zheng Chen
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Publication number: 20040215663Abstract: Systems and methods for a media agent are described. In one aspect, it is determined whether a user wants to save or download a media object from a media source. Semantic information is then extracted from the media source. A filename is then suggested to the user for the media object based on the semantic information.Type: ApplicationFiled: May 24, 2004Publication date: October 28, 2004Applicant: Microsoft CorporationInventors: Wen-Yin Liu, Hong-Jiang Zhang, Zheng Chen
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Patent number: 6674918Abstract: Methods and apparatus for synthesizing images from two or more existing images are described. The described embodiment makes use of an illumination model as a mathematical model to combine the images. A first of the images is utilized as an object color or color source (i.e. the foreground) for a resultant image that is to be formed. A second of the images (utilized as the background or texture) is utilized as a perturbation source. In accordance with the described embodiment, the first image is represented by a plane that has a plurality of surface normal vectors. Aspects of the second image are utilized to perturb or adjust the surface normal vectors of the plane that represents the first image. Perturbation occurs, in the described embodiment, by determining individual intensity values for corresponding pixels of the second image. The intensity values are mapped to corresponding angular displacement values.Type: GrantFiled: February 16, 2000Date of Patent: January 6, 2004Assignee: Microsoft CorporationInventors: Wen-Yin Liu, Hua Zhong, Ying-Qing Xu
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Publication number: 20030105589Abstract: The described arrangements and procedures provide an intelligent media agent to autonomously collect semantic multimedia data text descriptions on behalf of a user whenever and wherever the user accesses media content. The media agent analyzes these semantic multimedia data text descriptions in view of user behavior patterns and actions to assist the user in identifying multimedia content and related information that is appropriate to the context within which the user is operating or working. For instance, the media agent detects insertion of text and analyzes the inserted text. Based on the analysis, the agent predicts whether a user intends to access media content. If so, the agent retrieves information corresponding to media content from a media content source and presents the information to a user as a suggestion.Type: ApplicationFiled: November 30, 2001Publication date: June 5, 2003Inventors: Wen-Yin Liu, Hong-Jiang Zhang, Zheng Chen