{"id":"https://openalex.org/W2095258782","doi":"https://doi.org/10.1109/icnidc.2012.6418784","title":"Efficient intra prediction based on line with adaptive gradient detection for high definition videos","display_name":"Efficient intra prediction based on line with adaptive gradient detection for high definition videos","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2095258782","doi":"https://doi.org/10.1109/icnidc.2012.6418784","mag":"2095258782"},"language":"en","primary_location":{"id":"doi:10.1109/icnidc.2012.6418784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2012.6418784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd IEEE International Conference on Network Infrastructure and Digital Content","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/A5026813767","display_name":"Huiming Huang","orcid":"https://orcid.org/0000-0003-0797-7845"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiming Huang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086567612","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0002-5561-7249"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wei","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398488","display_name":"Feng Ye","orcid":"https://orcid.org/0000-0002-5163-3006"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ye","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China)","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026813767"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15871826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"406","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"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":0.9979000091552734,"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":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8559238314628601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093275547027588},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5893101692199707},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5811573266983032},{"id":"https://openalex.org/keywords/high-definition","display_name":"High definition","score":0.529950737953186},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5154462456703186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5143028497695923},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.468217134475708},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4273208677768707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3903249204158783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3239372968673706},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10611024498939514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09050983190536499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8559238314628601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093275547027588},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5893101692199707},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5811573266983032},{"id":"https://openalex.org/C2987762487","wikidata":"https://www.wikidata.org/wiki/Q413191","display_name":"High definition","level":2,"score":0.529950737953186},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5154462456703186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5143028497695923},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.468217134475708},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4273208677768707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3903249204158783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3239372968673706},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10611024498939514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09050983190536499},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnidc.2012.6418784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2012.6418784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd IEEE International Conference on Network Infrastructure and Digital Content","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2170404110","https://openalex.org/W2324369761"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"Nowadays,":[0],"H.264/AVC":[1,85],"is":[2],"an":[3],"effective":[4],"standard":[5],"for":[6,14,27,50,53],"video":[7],"coding.":[8],"However,":[9],"with":[10,73,84],"the":[11,37,44,47,54,76,88,98,101],"growing":[12],"demand":[13],"higher":[15],"compression":[16],"ratio":[17],"of":[18,46],"moving":[19],"pictures":[20],"in":[21,36,100],"various":[22],"applications,":[23],"it's":[24],"quite":[25],"desirable":[26],"new":[28,61],"methods":[29],"which":[30,67],"adapt":[31],"to":[32,42,63],"high":[33,55],"definition":[34,56],"videos":[35],"flexible":[38],"environments.":[39],"In":[40],"order":[41],"improve":[43],"efficiency":[45],"intra":[48,65,86],"prediction":[49],"videos,":[51],"especially":[52],"ones,":[57],"we":[58],"propose":[59],"a":[60],"algorithm":[62,90],"establish":[64],"prediction,":[66,95],"processes":[68],"pixels":[69],"based":[70],"on":[71],"line":[72],"adaptively":[74],"detecting":[75],"texture":[77],"changes.":[78],"Experimental":[79],"results":[80],"demonstrate":[81],"that,":[82],"compared":[83],"method,":[87],"proposed":[89],"has":[91],"achieved":[92],"much":[93],"better":[94],"and":[96],"reduced":[97],"complexity":[99],"meantime.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}