<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-NULM4GOE</identifier><date>2023</date><creator>Le, Tri</creator><relation>documents/doc/N/URN_NBN_SI_doc-NULM4GOE_001.pdf</relation><relation>documents/doc/N/URN_NBN_SI_doc-NULM4GOE_001.txt</relation><format format_type="issue">3</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 327-334</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v47i3.4755</identifier><identifier identifier_type="COBISSID">197224195</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-NULM4GOE</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">gibanje</subject><subject language_type_id="slv">prepoznava slik</subject><subject language_type_id="slv">prepoznavanje človeških aktivnosti</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Motion embedded images</title><title>an approach to capture spatial and temporal features for action recognition</title></Record>