智能內容生產，媒體的智能未來

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"內容作爲媒介傳播的主體，無論是在傳統紙媒時代、PC互聯網、移動互聯網還是以後的物聯網、視聯網，它依然具有強悍的生命力，內容爲王永不過時。而文章、圖片、視頻、音樂等內容的生產，是個極其龐大的產業。過去內容生產一直被認爲需要很強的創造性，因此主要由人來完成。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"然而近兩年飛速發展的人工智能（AI）已經逐漸滲透進了內容生產的各個環節，人工智能從事內容生產似乎已經沒那麼遙遠。隨着移動互聯網時代的發展，信息傳播的無限暢通使內容創作的訴求不斷提高而門檻不斷降低。人人皆可創作的新環境，同時也意味着內容創作的競爭空前加劇。此時，依靠AI實現的智能創作應需而生，科技巨頭和創業公司開始紛紛發力，一個新的市場初見端倪。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"騰訊智媒 內容生產平臺"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"Smart Content Platform"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"基於對媒體發展的理解，多媒體實驗室很早就在智能媒體方向上開始進行研究和嘗試，同時打造的很多智能生產能力已經在實際項目中得到了很好的落地。基於相關的經驗多媒體實驗室打造了跨模態的騰訊智媒內容生產平臺。平臺可以將視頻、音樂、文字、圖片四種類型的素材進行有機的整合和轉化，高效的生產各種類型的內容。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/c2\/a1\/c2b1238403d9a1fc7cccdb1c37710da1.png","alt":null,"title":"","style":[{"key":"width","value":"100%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"部分能力介紹"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"隨着大家獲取信息的方式大量的從瀏覽文字轉爲觀賞視頻，人們對優質視頻內容的需求量與日俱增。簡單的擴大編輯團隊除了會顯著增加成本以外，也很難穩定把控視頻的質量。同時短視頻的興起帶來了海量非專業人士製作UGC視頻的需求，因此如何降低視頻製作門檻簡化製作流程成爲了關鍵問題。基於人工智能技術，智能生產平臺上的「視頻智能剪輯」和「智能視頻配樂」就可以很好的簡化這個過程，甚至在某些場景下做到一鍵成片。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"視頻智能剪輯"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"視頻智能剪輯基於多模態視頻理解技術，將用戶感興趣或關鍵的片段進行剪輯、拼接、和理解。以體育精彩集錦爲例：我們體育剪輯引擎先利用事件檢測技術定位到視頻的關鍵事件區間，將完整體育比賽視頻拆分成若干片段；再利用時序動作識別技術對視頻片段進行進一步理解；最後將以上信息進行篩選和融合，自動完成剪輯工作。以下足球視頻即爲系統自動剪輯生成。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"embedcomp","attrs":{"type":"video","data":{"id":"326815","name":"0bf2feaaaaaatuammutbi5pvakodaauqaaaa.f10002.mp4","poster":""}}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"智能視頻配樂"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"智能視頻配樂基於跨模態內容檢索和標識技術，將合適的音樂內容或視頻內容進行自動匹配，高效完成短視頻創作。我們一方面基於智能內容檢索技術，收集海量無監督的優質短視頻素材，學習各模態的特徵；另一方面基於內容標識技術，對不同類別的內容進行標籤提取，通過標籤在語義空間中的分佈情況來進行素材的高效匹配。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"embedcomp","attrs":{"type":"video","data":{"id":"326816","name":"0b78diaagaaaaeamo7tbgvpvagwdamnaaaya.f10002.mp4","poster":""}}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"音樂智能理解"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"音樂作爲科學和藝術的交叉點，也是人工智能較晚走入的領域。通過不斷的積累，智能生產平臺在音樂領域也已經具備了十八般武藝。音樂智能理解基於多種音樂結構分析技術，通過對音樂全局結構和節奏等信息進行抽取和理解，自適應的獲得音樂的鼓點以及高潮位置。同時提供音樂各章節的橫向理解能力，以及區分人聲、伴奏、貝斯等的縱向理解能力，可以便捷的在各類場景中使用。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/67\/d5\/679ddb9bfeaa221a57994da8dbee0dd5.png","alt":null,"title":"","style":[{"key":"width","value":"100%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"圖片\/視頻翻譯"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"圖片\/視頻描述基於時序特徵翻譯技術，將圖片或視頻中的視覺信息綜合理解，生成對應的文字信息。我們的算法會將單幀的視頻圖像與視覺空間中的內容上下文進行綜合理解；然後將獲得的視覺信息轉化爲文字信息，經過一系列的優化生成貼切的文字描述。相關的能力可以應用在電商等場景中，快速自動化的生成商品介紹。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/75\/25\/753fbe5499078b0dd9209a47caea1d25.png","alt":null,"title":"","style":[{"key":"width","value":"100%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"落地案例"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"目前智能內容生產平臺已經服務於全民K歌、微視、企鵝號、騰訊視頻、騰訊影業等衆多產品，每天爲海量騰訊C端用戶提供優質內容。同時協同騰訊雲發力B端，在傳媒、文旅、政務等多個ToB行業中得到良好的應用。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"horizontalrule"},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"頭圖"},{"type":"text","text":"：Unsplash"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"原文"},{"type":"text","text":"："},{"type":"link","attrs":{"href":"https:\/\/mp.weixin.qq.com\/s\/1rq7mfQcJjIUsuUFx_pDGg","title":"","type":null},"content":[{"type":"text","text":"智能內容生產，媒體的智能未來"}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"來源"},{"type":"text","text":"：騰訊多媒體實驗室 - 微信公衆號 [ID：TencentAVLab]"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"轉載"},{"type":"text","text":"：著作權歸作者所有。商業轉載請聯繫作者獲得授權，非商業轉載請註明出處。"}]}]}