{"id":"https://openalex.org/W4386597073","doi":"https://doi.org/10.1109/icip49359.2023.10222645","title":"Improving Spherical Image Resampling Through Viewport-Adaptivity","display_name":"Improving Spherical Image Resampling Through Viewport-Adaptivity","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597073","doi":"https://doi.org/10.1109/icip49359.2023.10222645"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5073351605","display_name":"Andy Regensky","orcid":"https://orcid.org/0000-0003-0609-0214"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andy Regensky","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050989474","display_name":"Viktoria Heimann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viktoria Heimann","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079977786","display_name":"Ruoyu Zhang","orcid":"https://orcid.org/0000-0003-0370-3249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoyu Zhang","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Kaup","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Multimedia Communications and Signal Processing,Erlangen,Germany,91058","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073351605"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10747187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1730","last_page":"1734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.9726517796516418},{"id":"https://openalex.org/keywords/viewport","display_name":"Viewport","score":0.8268228769302368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941589117050171},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.652761697769165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4925113618373871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39460572600364685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3918667435646057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3337332606315613}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.9726517796516418},{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.8268228769302368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941589117050171},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.652761697769165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4925113618373871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39460572600364685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3918667435646057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3337332606315613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2011966906","https://openalex.org/W2041412547","https://openalex.org/W2097615965","https://openalex.org/W2133665775","https://openalex.org/W2733888878","https://openalex.org/W2889572947","https://openalex.org/W2978108514","https://openalex.org/W2990246360","https://openalex.org/W3003257820","https://openalex.org/W3118026136","https://openalex.org/W3163319229","https://openalex.org/W3202918664","https://openalex.org/W3217502861","https://openalex.org/W4226341443","https://openalex.org/W4280553375"],"related_works":["https://openalex.org/W4389095575","https://openalex.org/W2908978341","https://openalex.org/W4294975495","https://openalex.org/W2992753629","https://openalex.org/W3161069372","https://openalex.org/W3171203216","https://openalex.org/W3123914255","https://openalex.org/W4386597073","https://openalex.org/W4382319248","https://openalex.org/W2092172251"],"abstract_inverted_index":{"The":[0],"conversion":[1],"between":[2],"different":[3],"spherical":[4,49,65],"image":[5],"and":[6,84,114,123],"video":[7],"projection":[8],"formats":[9],"requires":[10],"highly":[11],"accurate":[12],"resampling":[13,25,34,42,59,70,82,101],"techniques":[14],"in":[15,107],"order":[16],"to":[17,78],"minimize":[18],"the":[19,45,64,68,115,126],"inevitable":[20],"loss":[21],"of":[22,48,67,109,117],"information.":[23],"Suitable":[24],"algorithms":[26],"such":[27,120],"as":[28,121],"nearest":[29],"neighbor,":[30],"linear":[31],"or":[32],"cubic":[33,100],"are":[35],"readily":[36],"available.":[37],"However,":[38],"no":[39],"generally":[40],"applicable":[41],"technique":[43,61],"exploits":[44],"special":[46],"properties":[47],"images":[50],"so":[51],"far.":[52],"Thus,":[53],"we":[54],"propose":[55],"a":[56],"novel":[57],"viewport-adaptive":[58],"(VAR)":[60],"that":[62],"takes":[63],"characteristics":[66],"underlying":[69],"problem":[71],"into":[72],"account.":[73],"VAR":[74,97],"can":[75],"be":[76],"applied":[77],"any":[79],"mesh-to-mesh":[80],"capable":[81],"algorithm":[83],"shows":[85],"significant":[86],"gains":[87],"across":[88],"all":[89],"tested":[90],"techniques.":[91],"In":[92],"combination":[93],"with":[94],"frequency-selective":[95],"resampling,":[96],"outperforms":[98],"conventional":[99],"by":[102],"more":[103],"than":[104],"2":[105],"dB":[106],"terms":[108],"WS-PSNR.":[110],"A":[111],"visual":[112],"inspection":[113],"evaluation":[116],"further":[118],"metrics":[119],"PSNR":[122],"SSIM":[124],"support":[125],"positive":[127],"results.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
