{"id":"https://openalex.org/W7161169199","doi":"https://doi.org/10.1109/cicc65509.2026.11509509","title":"A 184mW, 61fps Image Signal Processor for Spatial-Temporal HD Video Inpainting","display_name":"A 184mW, 61fps Image Signal Processor for Spatial-Temporal HD Video Inpainting","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7161169199","doi":"https://doi.org/10.1109/cicc65509.2026.11509509"},"language":null,"primary_location":{"id":"doi:10.1109/cicc65509.2026.11509509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc65509.2026.11509509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074270065","display_name":"Tai-Jung Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tai-Jung Chen","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124122613","display_name":"Yao-Kai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Kai Yang","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136120166","display_name":"Jun Nishimura","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Nishimura","raw_affiliation_strings":["Google,Mountain View,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google,Mountain View,USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108108447","display_name":"C S Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hsiang Yang","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Electronics Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77474721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.44589999318122864,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.44589999318122864,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.16329999268054962,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11527","display_name":"3D IC and TSV technologies","score":0.1152999997138977,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40689998865127563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3375999927520752},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3052000105381012},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.3046000003814697},{"id":"https://openalex.org/keywords/image-processor","display_name":"Image processor","score":0.28679999709129333},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.2856999933719635}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6881999969482422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718999743461609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583999991416931},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40689998865127563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3052000105381012},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C2775941181","wikidata":"https://www.wikidata.org/wiki/Q861004","display_name":"Image processor","level":4,"score":0.28679999709129333},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.27559998631477356},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26829999685287476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicc65509.2026.11509509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc65509.2026.11509509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"inpainting":[1],"reconstructs":[2],"masked":[3],"regions":[4],"with":[5,163],"preserved":[6],"spatial":[7],"structure":[8],"across":[9],"frames,":[10],"and":[11,19,59,64,93,104,111,116,133],"has":[12],"been":[13],"widely":[14],"used":[15],"for":[16,40,74,152],"object":[17],"removal":[18],"segment":[20],"restoration.":[21],"However,":[22],"maintaining":[23],"temporal":[24,57],"consistency":[25],"results":[26],"in":[27,144],"excessively":[28],"high":[29],"computational":[30],"complexity.":[31],"This":[32],"work":[33],"presents":[34],"the":[35,71,72,75,99,131,134,136,147],"first":[36],"image":[37],"signal":[38],"processor":[39],"real-time":[41],"spatial\u2013temporal":[42],"video":[43,51],"inpainting.":[44],"The":[45],"design":[46],"reduces":[47,120],"computation":[48],"by":[49,96,124,141],"exploiting":[50],"codec":[52],"motion":[53],"information":[54],"to":[55,69,129],"eliminate":[56],"redundancy,":[58],"applies":[60],"non-local":[61],"frame":[62],"selection":[63],"LUT-based":[65,100],"layer":[66,101],"mask":[67,102],"generation":[68,103],"simplify":[70],"computations":[73],"copy-and-paste":[76],"neural":[77],"network.":[78],"Algorithm\u2013architecture":[79],"co-optimization":[80],"enables":[81],"efficient":[82,113],"hardware":[83,118],"mapping,":[84],"including":[85],"adaptive":[86],"processing":[87],"elements":[88],"that":[89,119],"skip":[90],"zero":[91],"data":[92],"reduce":[94,109],"latency":[95,110,138],"92%.":[97],"Additionally,":[98],"block-wise":[105],"packing":[106],"schemes":[107],"further":[108],"enable":[112],"memory":[114],"access,":[115],"shared":[117],"block":[121],"matcher":[122],"area":[123],"46%.":[125],"With":[126],"optimizations":[127],"applied":[128],"both":[130],"algorithm":[132],"architecture,":[135],"overall":[137],"is":[139],"reduced":[140],"99%.":[142],"Fabricated":[143],"40-nm":[145],"CMOS,":[146],"chip":[148],"achieves":[149],"61":[150],"fps":[151],"HD":[153],"videos":[154],"at":[155],"184":[156],"mW.":[157],"It":[158],"delivers":[159],"325\u00d7":[160],"higher":[161,168],"throughput":[162],"387,951":[164],"\u00d7":[165],"[16,121":[166],"\u00d7]":[167],"energy":[169],"[area]":[170],"efficiency":[171],"than":[172],"a":[173],"consumer-level":[174],"GPU.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-15T00:00:00"}
