{"id":"https://openalex.org/W7155813419","doi":"https://doi.org/10.48550/arxiv.2604.22554","title":"Video Analysis and Generation via a Semantic Progress Function","display_name":"Video Analysis and Generation via a Semantic Progress Function","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155813419","doi":"https://doi.org/10.48550/arxiv.2604.22554"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.22554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22554","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.22554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085386004","display_name":"Gal Metzer","orcid":"https://orcid.org/0009-0007-6541-6129"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Metzer, Gal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069631276","display_name":"Sagi Polaczek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Polaczek, Sagi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125220110","display_name":"Ali Mahdavi-Amiri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdavi-Amiri, Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072571599","display_name":"Raja Giryes","orcid":"https://orcid.org/0000-0002-2830-0297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giryes, Raja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134694731","display_name":"Daniel Cohen-Or","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen-Or, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6385999917984009,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6385999917984009,"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/T11439","display_name":"Video Analysis and Summarization","score":0.0706000030040741,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06310000270605087,"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/representation","display_name":"Representation (politics)","score":0.5820000171661377},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4927000105381012},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46790000796318054},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4555000066757202},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.44200000166893005},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.426800012588501},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.39480000734329224},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.37959998846054077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852999925613403},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5820000171661377},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.426800012588501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.421999990940094},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.37959998846054077},{"id":"https://openalex.org/C36391188","wikidata":"https://www.wikidata.org/wiki/Q1939117","display_name":"Semantic change","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.3732999861240387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.2996000051498413},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C37926939","wikidata":"https://www.wikidata.org/wiki/Q7449061","display_name":"Semantic equivalence","level":4,"score":0.28940001130104065},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.22554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22554","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.22554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22554","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4030410647392273}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Transformations":[0],"produced":[1],"by":[2,24],"image":[3],"and":[4,31,65,118,140,144],"video":[5,146],"generation":[6],"models":[7],"often":[8],"evolve":[9],"in":[10],"a":[11,37,41,50,67,84,97,113,127],"highly":[12],"non-linear":[13],"manner:":[14],"long":[15],"stretches":[16],"where":[17],"the":[18,47,72,77,105],"content":[19],"barely":[20],"changes":[21],"are":[22],"followed":[23],"sudden,":[25],"abrupt":[26],"semantic":[27,63,74,89,98,109,135],"jumps.":[28],"To":[29],"analyze":[30],"correct":[32],"this":[33,81,93],"behavior,":[34],"we":[35,59,95],"introduce":[36],"Semantic":[38],"Progress":[39],"Function,":[40],"one-dimensional":[42],"representation":[43],"that":[44,70,101,108],"captures":[45],"how":[46],"meaning":[48],"of":[49,80],"given":[51],"sequence":[52,106],"evolves":[53],"over":[54],"time.":[55],"For":[56],"each":[57],"frame,":[58],"compute":[60],"distances":[61],"between":[62],"embeddings":[64],"fit":[66],"smooth":[68],"curve":[69,82],"reflects":[71],"cumulative":[73],"shift":[75],"across":[76,137],"sequence.":[78],"Departures":[79],"from":[83],"straight":[85],"line":[86],"reveal":[87],"uneven":[88],"pacing.":[90,151],"Building":[91],"on":[92],"insight,":[94],"propose":[96],"linearization":[99],"procedure":[100],"reparameterizes":[102],"(or":[103],"retimes)":[104],"so":[107],"change":[110],"unfolds":[111],"at":[112],"constant":[114],"rate,":[115],"yielding":[116],"smoother":[117],"more":[119],"coherent":[120],"transitions.":[121],"Beyond":[122],"linearization,":[123],"our":[124],"framework":[125],"provides":[126],"model-agnostic":[128],"foundation":[129],"for":[130],"identifying":[131],"temporal":[132],"irregularities,":[133],"comparing":[134],"pacing":[136],"different":[138],"generators,":[139],"steering":[141],"both":[142],"generated":[143],"real-world":[145],"sequences":[147],"toward":[148],"arbitrary":[149],"target":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-28T00:00:00"}