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Stock footage, and similarly, archive footage, library pictures, and file footage is film or video footage that can be used again in other films. Stock footage is beneficial to filmmakers as it saves shooting new material. A single piece of stock footage is called a "stock shot" or a "library shot". [1]
Some common brands of packaged instant dashi. Dashi (出 汁, だし) is a family of stocks used in Japanese cuisine. Dashi forms the base for miso soup, clear broth soup, noodle broth soup, and many simmering liquids to accentuate the savory flavor known as umami. [1]
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The softened kombu is commonly eaten after cooking or is sliced and used to make tsukudani, a dish that is simmered in soy sauce and mirin. Kombu may be pickled with sweet-and-sour flavoring, cut into small strips about 5 or 6 cm long and 2 cm wide. These are often eaten as a snack with green tea. It is often included when cooking beans ...
Miso soup (味噌汁 or お味噌汁, miso-shiru or omiso-shiru, お-/o- being honorific) is a traditional Japanese soup consisting of miso paste mixed with a dashi stock.It is commonly served as part of an ichijū-sansai (一汁三菜) meal, meaning "one soup, three dishes," a traditional Japanese meal structure that includes rice, soup, and side dishes.
Niboshi (煮干し), often called iriko (炒り子) in Western Japan, are small dried fish used in Japanese cuisine for making dashi . They can also be eaten as snacks, or as a side dish. The types of fish used include anchovies, sardines, round herring, Pacific sand lance and others. [1] Niboshi made of anchovies are the most common. [2]
Kimagure Cook videos feature Kaneko preparing seafood with an emphasis on unusual or rare species, such as sharks, moray eels, giant squids, and seahorses.Before he prepares the seafood, he typically says his catchphrase Japanese: 捌いていく！, romanized: sabaite iku!, lit.
There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]