MOVING IMAGE COMPRESSING APPARATUS AND MOVING IMAGE COMPRESSING METHOD

To provide an apparatus and a method that improve a compressibility ratio of a moving image.SOLUTION: A moving image compressing apparatus 1 includes: a moving image acquisition part 131 acquiring a moving image; a propagation control part 132 propagating a plurality of processing layers included in...

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Bibliographic Details
Main Authors SUGAYA FUMIAKI, ISHIKAWA AKIO
Format Patent
LanguageEnglish
Japanese
Published 20.06.2019
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary:To provide an apparatus and a method that improve a compressibility ratio of a moving image.SOLUTION: A moving image compressing apparatus 1 includes: a moving image acquisition part 131 acquiring a moving image; a propagation control part 132 propagating a plurality of processing layers included in a machine learning model capable of outputting a type of a subject included in a moving image on the basis of an input moving image to a reference frame image and a specification frame image; an extraction part 133 extracting one or more specification outputs and one or more reference outputs which are activated in common in both processing layers of a post-stage processing layer and a pre-stage processing layer selected from the plurality of processing layers; a feature point detecting part 137 detecting one or more specification feature points and detecting one or more reference feature points; a vector estimation part 139 estimating a vector where the subject moves between the frame images by comparing the one or more specification feature points with the one or more reference feature points; and a compression part 140 generating a compression moving image obtained by compressing the moving image on the basis of a result estimated by the vector estimation part.SELECTED DRAWING: Figure 3 【課題】動画像の圧縮率を向上する装置及び方法を提供する。【解決手段】動画像圧縮装置１は、動画像を取得する動画像取得部１３１と、基準フレーム画像及び特定用フレーム画像のそれぞれに、入力された動画像に基づいて動画像に含まれる被写体の種別を出力可能な機械学習モデルに含まれる複数の処理層を伝搬させる伝搬制御部１３２と、複数の処理層から選択した後段処理層、及び前段処理層の両方の処理層において共通に活性化している、一以上の特定用出力と一以上の基準出力とを抽出する抽出部１３３と、一以上の特定用特徴点を検出し、かつ一以上の基準特徴点を検出する特徴点検出部１３７と、一以上の特定用特徴点と一以上の基準特徴点とを比較することにより、フレーム画像間で被写体が移動するベクトルを推定するベクトル推定部１３９と、ベクトル推定部が推定した結果に基づいて、動画像を圧縮した圧縮動画像を生成する圧縮部１４０と、を有する。【選択図】図３
Bibliography:Application Number: JP20170225931