Media Streaming — US PTAB Patent Cases
5 decisions indexed
Page 1 of 1 · 5 total
Genius Sports Ltd. v.SportsCastr Inc.
Genius Sports Ltd. successfully convinced the PTAB to institute proceedings against SportsCastr Inc., finding a reasonable likelihood of prevailing on at least one claim. The Board found that claims 1-9 were obvious over combinations of prior art references, specifically demonstrating how known techniques could reduce data latency in live sports content delivery.
Genius Sports Ltd. v.SportsCastr Inc.
The PTAB issued a Final Written Decision finding all nine challenged claims unpatentable over combinations of prior art references (Ellis, Spivey, Herzog). The Board relied heavily on the combination of Ellis and Spivey to establish obviousness for Claim 1, particularly regarding low-latency data delivery via uniquely addressable event sockets.
Genius Sports Ltd. v.SportsCastr Inc. (d/b/a PANDA Interactive)
The PTAB denied institution of an IPR petition filed by Genius Sports Ltd. against SportsCastr Inc., finding that the petitioner failed to demonstrate a reasonable likelihood of prevailing on grounds of obviousness (103). The denial focused on insufficient rationale for combining prior art references, particularly regarding specific technical features like webserver functionality.
Aylo Freesites Ltd et al. v.DISH Technologies L.L.C. et al.
Aylo Freesites Ltd et al. filed a petition challenging U.S. Patent No. 11,991,234 held by DISH Technologies L.L.C., asserting that the claims covering adaptive bitrate streaming are obvious over existing prior art. The petitioner argues that combinations of references like Ogdon and Allen, supplemented by Klements and Gamble, teach every limitation of the challenged claims.
fuboTV Media Inc. v.DISH Technologies L.L.C. et al.
fuboTV Media Inc. challenged DISH Technologies L.L.C.'s '554 Patent in an IPR proceeding regarding adaptive bitrate streaming technology. The petitioner argues that the claims are obvious over prior art references Ogdon and Allen, potentially combined with SMIL 2.0. This challenge targets fundamental methods of video segmentation and quality switching.
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