With　the　rapid　development　of　mobile　networks　and　devices,　real-time　video　transmission　has　become　increasingly　important　worldwide.　Constrained　by　the　bandwidth　limitations　of　single　networks,　extensive　research　has　shifted　towards　video　transmission　in　multi-network　environments.　However,　differences　in　bandwidth　and　latency　in　heterogeneous　networks　(such　as　LTE　and　Wi-Fi)　lead　to　high　latency　and　packet　loss　issues,　severely　affecting　video　quality　and　user　experience.　This　paper　proposes　a　Forward　Error　Correction　(FEC)-based　Low-Delay　Multipath　Scheduling　algorithm　(LDMP-FEC).　This　algorithm　combines　the　Gilbert　model　with　a　continuous　Markov　chain　to　adaptively　adjust　FEC　redundancy,　thereby　enhancing　data　integrity.　Through　the　FEC　Recovery　Priority　Scheduling　(FEC-RPS)　algorithm,　it　dynamically　optimizes　the　transmission　order　of　data　packets,　reducing　the　number　of　out-of-order　packets　(OFO-packets)　and　end-to-end　latency.　Experimental　results　show　that　LDMP-FEC　significantly　reduces　the　number　of　out-of-order　packets　in　heterogeneous　network　environments,　improving　performance　by　50%　compared　to　the　round-robin　and　MinRtt　algorithms,　while　maintaining　end-to-end　latency　within　150　ms.　Under　various　packet　loss　conditions,　LDMP-FEC　sustains　a　playable　frame　rate　(PFR)　above　90%　and　a　Peak　Signal-to-Noise　Ratio　(PSNR)　exceeding　35　dB,　providing　an　efficient　and　reliable　solution　for　real-time　video　and　other　low-latency　applications.