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公开(公告)号：US20210304072A1
公开(公告)日：2021-09-30
申请号：US17175556
申请日：2021-02-12
Applicant: Tata Consultancy Services Limited
Inventor： Kanika KALRA , Manasi PATWARDHAN , Shirish Subhash KARANDE , Swapnil Vishveshwar HINGMIRE , Girish Keshav PALSHIKAR
Abstract: The online shopping is highly based on human perception on products and the human perception on products depends on semantic features of products. Conventional methods provides product recommendation based on historical data and are supervised. The present disclosure receives a set of multi-modal data. A plurality of features are extracted from the set of data at a plurality of resolution levels and the plurality of features are arranged as parallel corpus based on a category associated with each data from the set of data. Further, an abstract interaction vector is computed for each element of the set of data using the parallel corpus. Further, the set of recommendations are identified by comparing the abstract interaction vector associated with the set of data with an abstract interaction vector associated with each of a plurality of items stored in the database by utilizing a similarity metric.
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2.发明申请公开(公告)号：US20220019734A1
公开(公告)日：2022-01-20
申请号：US17349440
申请日：2021-06-16
Applicant: Tata Consultancy Services Limited
Inventor： Sai Sree Bhargav KURMA , Kanika KALRA , Silpa VADAKKEEVEETIL SREELATHA , Manasi PATWARDHAN , Shirish Subhash KARANDE
IPC: G06F40/20 , G06K9/32 , G06N3/04 , G06F16/583
Abstract: This disclosure relates generally to visio-linguistic understanding. Conventional methods use contextual visio-linguistic reasoner for visio-linguistic understanding which requires more compute power and large amount of pre-training data. Embodiments of the present disclosure provide a method for visio-linguistic understanding using contextual language model reasoner. The method converts the visual information of an input image into a format that the contextual language model reasoner understands and accepts for a downstream task. The method utilizes the image captions and confidence score associated with the image captions along with a knowledge graph to obtain a combined input in a format compatible with the contextual language model reasoner. Contextual embeddings corresponding to the downstream task is obtained using the combined input. The disclosed method is used to solve several downstream tasks such as scene understanding, visual question answering, visual common-sense reasoning and so on.
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公开(公告)号：US20170024864A1
公开(公告)日：2017-01-26
申请号：US15215120
申请日：2016-07-20
Applicant: Tata Consultancy Services Limited
Inventor： Shirish Subhash KARANDE , Sandhya Sree THASKANI , Sachin P. LODHA , Purushotam Gopaldas RADADIA , Mandar Shrikant KULKARNI
CPC classification number: G06T5/005 , G06T7/11 , G06T7/13 , G06T7/33 , G06T7/337 , G06T7/38 , G06T2207/10016 , G06T2207/20072 , G06T2207/20076 , G06T2207/20104
Abstract: This disclosure relates generally to image processing, and more particularly to system and method for image inpainting. In one embodiment, a method for image inpainting includes aligning a plurality of multi-view images of a scene with respect to a reference image to obtain a plurality of aligned multi-view images. A region of interest (ROI) representing a region to be removed from the reference image for image inpainting is selected. A dictionary is created by selecting image-patches from the reference image and the plurality of aligned multi-view images, and 3D rotations thereof. A priority value of each of a plurality of pixels of the ROI is created. The ROI is systematically reconstructed in the reference image based at least on the priority values of the plurality of pixels and the dictionary by computing a linear combination of two or more image-patches selected from the plurality of image-patches of the dictionary.
Abstract translation: 本公开一般涉及图像处理，更具体地涉及用于图像修复的系统和方法。 在一个实施例中，一种用于图像修复的方法包括：相对于参考图像对准场景的多个多视点图像以获得多个对准的多视图图像。 选择表示要从图像修复的参考图像中去除的区域的感兴趣区域（ROI）。 通过从参考图像和多个对准的多视图图像及其3D旋转中选择图像补丁来创建词典。 创建ROI的多个像素中的每一个的优先级值。 至少基于多个像素和字典的优先级值，通过计算从字典的多个图像块中选择的两个或更多个图像块的线性组合，在参考图像中系统地重建ROI。
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公开(公告)号：US20200251229A1
公开(公告)日：2020-08-06
申请号：US16783897
申请日：2020-02-06
Applicant: Tata Consultancy Services Limited
Inventor： Beena RAI , Jayita DUTTA , Parijat DESHPANDE , Shankar Balajirao KAUSLEY , Shirish Subhash KARANDE , Manasi Samarth PATWARDHAN , Shashank Madhukar DESHMUKH
Abstract: This disclosure relates generally to a system and method for monitoring and quality evaluation of perishable food items in quantitative terms. Current technology provides limited capability for controlling environmental conditions surrounding the food items in real-time or any quantitative measurement for the degree of freshness of the perishable food items. The disclosed systems and methods facilitate in quantitative determination of freshness of food items by utilizing sensor data and visual data obtained by monitoring the food item. In an embodiment, the system utilizes a pre-trained CNN model and a RNN model, where the pertained CNN model is further fine-tined while training the RNN model to provide robust quality monitoring of the food items. In another embodiment, a rate kinetic based model is utilized for determining reaction rate order of the food item at a particular post-harvest stage of the food item so as to determine the remaining shelf life thereof.
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Patent Agency Ranking
公开(公告)号：US20170200101A1
公开(公告)日：2017-07-13
申请号：US15400297
申请日：2017-01-06
Applicant: Tata Consultancy Services Limited
Inventor： Rahul KUMAR , Anand SRIRAMAN , Mandar Shrikant KULKARNI , Kanika KALRA , Shirish Subhash KARANDE , Sachin Premsukh LODHA
CPC classification number: G06Q10/06311 , G06N5/003 , G06N7/005 , G06Q10/067
Abstract: Optimizing task allocation requires taking into account cognitive load on workers and their response time to allocated tasks. The present disclosure provides for allocation of task by receiving data pertaining to current activity of workers; receiving data pertaining to at least one task to be allocated and determining activity-task pairs based on an activity feature vector corresponding to at least one human body part used during the current activity and a task feature vector corresponding to at least one human body part required for the at least one task to be performed by the workers. Cognitive load on the workers is then estimated for the determined activity-task pairs. An optimum activity-task pair based on the estimated cognitive load is determined and at least one task is allocated to the workers based on the determined optimum activity-task pair.
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公开(公告)号：US20190026604A1
公开(公告)日：2019-01-24
申请号：US15895429
申请日：2018-02-13
Applicant: Tata Consultancy Services Limited
Inventor： Monika SHARMA , Lovekesh VIG , Shirish Subhash KARANDE , Anand SRIRAMAN , Ramya Sugnana Murthy HEBBALAGUPPE
Abstract: The most challenging problems in karyotyping are segmentation and classification of overlapping chromosomes in metaphase spread images. Often chromosomes are bent in different directions with varying degrees of bend. Tediousness and time consuming nature of the effort for ground truth creation makes it difficult to scale the ground truth for training phase. The present disclosure provides an end-to-end solution that reduces the cognitive burden of segmenting and karyotyping chromosomes. Dependency on experts is reduced by employing crowdsourcing while simultaneously addressing the issues associated with crowdsourcing. Identified segments through crowdsourcing are pre-processed to improve classification achieved by employing deep convolutional network (CNN).
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公开(公告)号：US20170161516A1
公开(公告)日：2017-06-08
申请号：US15071010
申请日：2016-03-15
Applicant: Tata Consultancy Services Limited
Inventor： Sutapa MONDAL , Sumesh MANJUNATH , Rohit SAXENA , Manish SHUKLA , Purushotam Gopaldas RADADIA , Shirish Subhash KARANDE , Sachin Premsukh LODHA
Abstract: Systems and methods for sensitive audio zone rearrangement are provided that protects confidential and sensitive information such as user identifier during query processing and authentication. The sensitive information rearrangement system generates or permutes the actual user identifier in a privacy preserving manner. The sensitive information is extracted from an input being either a speech or DTMF tones, and a virtual user identifier is generated in real time, that is specific to a transaction to be performed, or a query initiation by a user in real-time. The sensitive information is rearranged which can be either DTMF tone or speech of user to generate the virtual user identifier.
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公开(公告)号：US20200250531A1
公开(公告)日：2020-08-06
申请号：US16783755
申请日：2020-02-06
Applicant: Tata Consultancy Services Limited
Inventor： Beena RAI , Jayita DUTTA , Parijat DESHPANDE , Shankar Balajirao KAUSLEY , Shirish Subhash KARANDE , Manasi Samarth PATWARDHAN , Shashank Madhukar DESHMUKH
Abstract: This disclosure relates generally to a system and method for monitoring and quality evaluation of perishable food items in quantitative terms. Current technology provides limited capability for controlling environmental conditions surrounding the food items in real-time or any quantitative measurement for the degree of freshness of the perishable food items. The disclosed systems and methods facilitate in quantitative determination of freshness of food items by utilizing sensor data and visual data obtained by monitoring the food item. In an embodiment, the system utilizes a pre-trained CNN model and a RNN model, where the pertained CNN model is further fine-tined while training the RNN model to provide robust quality monitoring of the food items. In another embodiment, a rate kinetic based model is utilized for determining reaction rate order of the food item at a particular post-harvest stage of the food item so as to determine the remaining shelf life thereof.
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公开(公告)号：US20190066207A1
公开(公告)日：2019-02-28
申请号：US16078453
申请日：2017-02-22
Applicant: Tata Consultancy Services Limited
Inventor： Sandeep SAXENA , Vijayarangan NATARAJAN , Shirish Subhash KARANDE , Kishore PADMANABHAN , Ram Harith VISWANATHAN
Abstract: Conventional systems and methods for order management are not geared to address varying and modifiable attributes of data products which may lead to conflicts that need to be resolved for a trade to conclude. Systems and methods are provided for resolving such conflicts prevalent in voluminous data hubs such as data marketplaces associated with buy orders and sell orders including metadata associated with product data, terms and conditions and price attributes. The conflict resolution provided is an automated and streamlined process that takes into account basic requirements of buyers and sellers along with a comprehensive resolution of conflicts that may arise when meeting the privacy requirements associated with data being traded, contract requirements proposed or concluded for the data being traded, reputation score associated with the trading parties and price discovery based on the variations in trading mechanisms possible in huge data marketplace.
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