VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES
One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result...
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| creator | KANG, Hyun Jae MISTRY, Pranav K YING, Zhihan BENDALE, Abhijit LIOT, Anthony S ANTOL, Stanislaw JEON, Won J KIM, Jihee LI, Bo GIBBS, Simon J LUO, Lu |
| description | One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display. |
| format | Patent |
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Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191127&DB=EPODOC&CC=EP&NR=3559804A4$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191127&DB=EPODOC&CC=EP&NR=3559804A4$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KANG, Hyun Jae</creatorcontrib><creatorcontrib>MISTRY, Pranav K</creatorcontrib><creatorcontrib>YING, Zhihan</creatorcontrib><creatorcontrib>BENDALE, Abhijit</creatorcontrib><creatorcontrib>LIOT, Anthony S</creatorcontrib><creatorcontrib>ANTOL, Stanislaw</creatorcontrib><creatorcontrib>JEON, Won J</creatorcontrib><creatorcontrib>KIM, Jihee</creatorcontrib><creatorcontrib>LI, Bo</creatorcontrib><creatorcontrib>GIBBS, Simon J</creatorcontrib><creatorcontrib>LUO, Lu</creatorcontrib><title>VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES</title><description>One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAN8wz29PdT8PQLcfXx8XR39XN2VfB19HN0d_V19QtRcPMPUnD1cXUOCfL383RWcHEN83R2DeZhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfGuAcamppYWBiaOJsZEKAEAruInaA</recordid><startdate>20191127</startdate><enddate>20191127</enddate><creator>KANG, Hyun Jae</creator><creator>MISTRY, Pranav K</creator><creator>YING, Zhihan</creator><creator>BENDALE, Abhijit</creator><creator>LIOT, Anthony S</creator><creator>ANTOL, Stanislaw</creator><creator>JEON, Won J</creator><creator>KIM, Jihee</creator><creator>LI, Bo</creator><creator>GIBBS, Simon J</creator><creator>LUO, Lu</creator><scope>EVB</scope></search><sort><creationdate>20191127</creationdate><title>VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES</title><author>KANG, Hyun Jae ; MISTRY, Pranav K ; YING, Zhihan ; BENDALE, Abhijit ; LIOT, Anthony S ; ANTOL, Stanislaw ; JEON, Won J ; KIM, Jihee ; LI, Bo ; GIBBS, Simon J ; LUO, Lu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3559804A43</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>KANG, Hyun Jae</creatorcontrib><creatorcontrib>MISTRY, Pranav K</creatorcontrib><creatorcontrib>YING, Zhihan</creatorcontrib><creatorcontrib>BENDALE, Abhijit</creatorcontrib><creatorcontrib>LIOT, Anthony S</creatorcontrib><creatorcontrib>ANTOL, Stanislaw</creatorcontrib><creatorcontrib>JEON, Won J</creatorcontrib><creatorcontrib>KIM, Jihee</creatorcontrib><creatorcontrib>LI, Bo</creatorcontrib><creatorcontrib>GIBBS, Simon J</creatorcontrib><creatorcontrib>LUO, Lu</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KANG, Hyun Jae</au><au>MISTRY, Pranav K</au><au>YING, Zhihan</au><au>BENDALE, Abhijit</au><au>LIOT, Anthony S</au><au>ANTOL, Stanislaw</au><au>JEON, Won J</au><au>KIM, Jihee</au><au>LI, Bo</au><au>GIBBS, Simon J</au><au>LUO, Lu</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES</title><date>2019-11-27</date><risdate>2019</risdate><abstract>One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES |
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