Voting helps other researchers find interesting modules.
Multimodal features for a single generated topic used to build training data.
maxFrameSimilarityInterval
GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchFrameSimilarityInterval.t
nil
normalizedTopic
String.t
qbstTermsOverlapFeatures
GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchQbstTermsOverlapFeatures.t
rankembedNearestNeighborsFeatures
GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchRankEmbedNearestNeighborsFeatures.t
saftEntityInfo
GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSaftEntityInfo.t
topicDenseVector
list(number())
Unwrap a decoded JSON object into its complex fields.
@type t() :: %GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchMultimodalTopicTrainingFeatures{ maxFrameSimilarityInterval: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchFrameSimilarityInterval.t() | nil, normalizedTopic: String.t() | nil, qbstTermsOverlapFeatures: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchQbstTermsOverlapFeatures.t() | nil, rankembedNearestNeighborsFeatures: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchRankEmbedNearestNeighborsFeatures.t() | nil, saftEntityInfo: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchSaftEntityInfo.t() | nil, topicDenseVector: [number()] | nil }
@spec decode(struct(), keyword()) :: struct()