{"id":"https://openalex.org/W7160335173","doi":"https://doi.org/10.48550/arxiv.2605.02849","title":"Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion","display_name":"Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion","publication_year":2026,"publication_date":"2026-05-04","ids":{"openalex":"https://openalex.org/W7160335173","doi":"https://doi.org/10.48550/arxiv.2605.02849"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.02849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02849","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.02849","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126650746","display_name":"Amirhosein Javadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javadi, Amirhosein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080725457","display_name":"Shirin Saeedi Bidokhti","orcid":"https://orcid.org/0000-0002-3790-202X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bidokhti, Shirin Saeedi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122331649","display_name":"Tara Javidi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javidi, Tara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.5139999985694885,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.5139999985694885,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.22709999978542328,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.14069999754428864,"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/data-compression","display_name":"Data compression","score":0.5156999826431274},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5116999745368958},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.49729999899864197},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4715999960899353},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.436599999666214},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4334000051021576},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4101000130176544},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.36390000581741333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706999897956848},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5116999745368958},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.49729999899864197},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4715999960899353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46540001034736633},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3635999858379364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.3391000032424927},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.33390000462532043},{"id":"https://openalex.org/C150178126","wikidata":"https://www.wikidata.org/wiki/Q18433212","display_name":"Dynamic range compression","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.02849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02849","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.02849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02849","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4055405557155609,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion":[0],"models":[1],"provide":[2],"a":[3,33,59,71],"powerful":[4],"generative":[5,20,111],"prior":[6],"for":[7,38,110],"perceptual":[8,154],"reconstruction":[9,82],"at":[10,129,144],"ultra-low":[11],"bitrates,":[12],"but":[13],"effective":[14,108],"video":[15,35],"compression":[16,36],"requires":[17],"controlling":[18],"the":[19,39,76,115,164],"process":[21],"using":[22,58],"highly":[23],"compact":[24,60,106],"conditioning":[25,109],"signals.":[26],"In":[27],"this":[28,89],"work,":[29],"we":[30,91],"present":[31],"ActDiff-VC,":[32],"diffusion-based":[34,161],"framework":[37],"ultra-low-bitrate":[40,165],"regime.":[41,166],"Our":[42],"method":[43],"partitions":[44],"videos":[45],"into":[46],"variable-length":[47],"segments,":[48],"transmits":[49],"keyframes":[50],"only":[51],"when":[52],"needed,":[53],"and":[54,98,117,138,151,160],"summarizes":[55],"temporal":[56],"dynamics":[57],"set":[61],"of":[62],"tracked":[63],"point":[64],"trajectories.":[65],"Conditioned":[66],"on":[67,114],"these":[68],"sparse":[69,100],"signals,":[70],"conditional":[72],"diffusion":[73],"decoder":[74],"synthesizes":[75],"remaining":[77],"frames,":[78],"enabling":[79],"perceptually":[80],"realistic":[81],"under":[83],"severe":[84],"rate":[85],"constraints.":[86],"To":[87],"support":[88],"design,":[90],"introduce":[92],"two":[93],"mechanisms:":[94],"content-adaptive":[95],"keyframe":[96],"selection":[97],"budget-aware":[99],"trajectory":[101],"selection,":[102],"which":[103],"together":[104],"enable":[105],"yet":[107],"reconstruction.":[112],"Experiments":[113],"UVG":[116],"MCL-JCV":[118],"benchmarks":[119],"show":[120],"that":[121],"ActDiff-VC":[122],"achieves":[123],"up":[124,135,141],"to":[125,136,142,158],"64.6\\%":[126,137],"bitrate":[127],"reduction":[128],"matched":[130],"NIQE,":[131],"improves":[132],"KID":[133],"by":[134,140],"FID":[139],"37.7\\%":[143],"comparable":[145],"bitrates":[146],"against":[147],"strong":[148],"learned":[149,159],"codecs,":[150],"delivers":[152],"favorable":[153],"rate--distortion":[155],"trade-offs":[156],"relative":[157],"baselines":[162],"in":[163]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-06T00:00:00"}
